Sr. Data Engineer I

🏢 Summary: Senior Product Manager responsible for defining and executing the strategy, roadmap, and integrations for core Marketing Technology platforms, including CDP, orchestration, CMS, PIM, and DAM systems. The role drives build vs. buy decisions, oversees third-party MarTech platforms, and ensures scalable, reliable integrations with core systems to enable personalization and lifecycle marketing. Collaborates cross-functionally to translate business needs into technical requirements and optimize marketing technology architecture for global growth. 🗂️ Requirements: 7+ years Product Management or Product Ownership experience in consumer software, e-commerce, or platform environments, Experience leading complex platform or infrastructure-adjacent products, Hands-on experience with MarTech platforms (CDP, marketing automation, CMS, PIM, DAM), Strong understanding of APIs, event-driven architectures, and system integrations, Experience evaluating vendors and driving build vs. buy decisions, Experience defining and managing product roadmaps with multiple stakeholders, Experience working in Agile/Scrum environments, Bachelor’s Degree 📃 Skills: CDP, MarTech, APIs, Integrations, Architecture, CMS, PIM, DAM, Braze, SimonAI, Segment, Agile, Scrum, Data, Ecommerce 🏢 Description: Job Summary: The Senior Product Manager – Marketing Technology (MarTech) Platforms will own the strategy, roadmap, and execution of iHerb’s core marketing technology ecosystem. This role is responsible for leading the integration, evolution, and optimization of third-party and in-house MarTech platforms that power customer data, personalization, content, and lifecycle marketing experiences. This role will partner closely with Engineering, Marketing, Data, and external vendors to deliver scalable, reliable, and future-ready platforms such as Customer Data Platforms (e.g., Simon AI), orchestration and messaging platforms (e.g., Braze), and additional capabilities including CMS, PIM, DAM, and Language Service Providers (LSPs). The Sr. PM will also drive strategic decisions around build vs. buy, platform consolidation, and long-term architecture to support global growth and marketing innovation. Job Expectations: Own the strategy, roadmap, and execution of iHerb’s core Marketing Technology (MarTech) platforms and integrations. Lead build vs. buy decisions for current and future capabilities, including CDP, orchestration, CMS, PIM, DAM, LSP, and related platforms. Serve as the product owner for key third-party MarTech platforms (e.g., Simon AI, Braze), including roadmap alignment and feature adoption. Partner with Engineering to design and deliver scalable, reliable integrations between MarTech platforms and iHerb’s core systems. Translate marketing and business needs into clear technical requirements, data flows, and platform capabilities. Act as a strategic partner to Marketing, enabling personalization, lifecycle marketing, content operations, and experimentation through technology. Balance near-term marketing needs with long-term platform scalability, maintainability, and technical health. Define success metrics and KPIs to measure platform performance, adoption, and business impact. Drive cross-functional alignment across Marketing, Engineering, Data, and external vendors to ensure successful delivery. Participate in agile development processes, including backlog prioritization, sprint planning, and reviews. The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job. Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice. Knowledge, Skills, and Abilities: Required: Strong experience leading complex platform or infrastructure-adjacent products Hands-on experience working with or integrating MarTech platforms such as CDPs, marketing automation/orchestration tools, CMS, PIM, DAM, or similar systems. Solid understanding of APIs, event-driven architectures, data flows, and system integrations. Proven ability to drive build vs. buy decisions and evaluate third-party vendors and technologies. Experience defining and managing product roadmaps with multiple stakeholders and dependencies. Excellent communication skills with the ability to translate technical concepts for marketing and business audiences. Strong collaboration skills and comfort operating in highly cross-functional environments. Experience working in an Agile/Scrum development process. Customer-first and outcomes-driven mindset. Preferred: Experience with CDPs (e.g., Simon AI, Segment) and lifecycle platforms (e.g., Braze). Familiarity with global content and localization workflows, including LSP integrations. Experience supporting international or multi-brand e-commerce platforms. Understanding of data privacy, consent management, and compliance considerations in marketing systems. Background in e-commerce, marketplace, or consumer digital products. Experience Requirements: Generally requires seven (7) or more years of Product Management or Product Ownership experience within a consumer software, e-commerce, or platform-focused environment. Education Requirements: Bachelor’s Degree required. A Computer Science, Engineering, Information Systems, or similar technical degree is preferred. #LI-JC1The anticipated pay scale for this position can be found below, however the pay range applicable to you may vary by geographic location based on where the job is located or where you work. The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type of years and experience within the industry, education, etc. iHerb, LLC is a multi-state employer and this pay scale may not reflect positions that work in other states or locations.Employees (and their families) that meet eligibility criteria as outlined in applicable plan documents are eligible to participate in our medical, dental, vision, and basic life insurance programs and may enroll in our company’s 401(k) plan. Employees will also be eligible for Time Off and Paid Sick Leave pursuant to the company’s policies. Employees will enjoy paid holidays throughout the calendar year. Eligibility requirements for these benefits will be controlled by applicable plan documents. Hired applicant may be awarded Restrict Stock Units and receive annual bonuses pursuant to eligibility and performance criteria defined in the respective plan documents and policies. For more information on iHerb benefits, visit us at iHerbBenefits.com.Anticipated Pay Scale:$177,000—$220,000 USD Staffing Agency Submission Notice iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to staffingvendors@iherb.com. Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization. About iHerbiHerb is on a mission to make health and wellness accessible to all. We offer Earth’s best-curated selection of health and wellness products, at the best possible value, delivered with the most convenient experience.We’re the world’s largest eCommerce platform dedicated to vitamins, minerals, and supplements, and other health and wellness products. For more than 25 years, we’ve been making it simple for people all over the world to purchase the highest quality products. From supplements to skincare to grocery items, we ship over 50,000 products, from over 1,800 brands direct to our customers in 180+ countries.Our vision is to become the #1 destination for health and wellness across the world.With a passion for wellness and a mind for innovative solutions, iHerb team members share a vision for a healthier world that drives them each day. Our 5 Shared Values unite our global team: Focus on the Customer · Empower Our People · Be Entrepreneurial & Pivot Quickly · Embrace Diversity & Inclusion · Strive for Simplicity iHerb BenefitsAt iHerb, we are dedicated to offering programs designed to help our employees and their families stay healthy, live well, and plan for their financial future. Built on a strong foundation, our programs provide options and upgrades with flexibility, protection, and security in mind. For the comprehensive benefits list, visit www.iHerbBenefits.com. For our international team members, you may be eligible for benefits depending on the country where you are employed. The Talent Acquisition Partner/local HR representative will go over the benefits you are eligible for. iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.

🏢 Summary: Lead the strategy and execution of AI-driven recommendation and personalization features for an e-commerce platform, leveraging advanced recommendation systems and generative AI. Own the product roadmap, data-driven optimization, and cross-functional delivery of AI-powered experiences across web and mobile. Drive innovation in product discovery, personalized content, and AI-enabled search and chat functionalities. 🗂️ Requirements: 7+ years Product Ownership in e-commerce or consumer software, Bachelor’s Degree, Expertise in collaborative, content-based, and hybrid recommendation systems, Experience with generative AI models in production environments, Strong knowledge of machine learning for personalization, Experience with API integrations for AI services, Proficiency in data analysis and SQL, Hands-on experience with A/B testing and multivariate experimentation, Experience defining and managing product roadmaps, Experience working in Agile/Scrum environments, Understanding of UX/UI principles for digital products 📃 Skills: CollaborativeFiltering, ContentBasedFiltering, HybridModels, MachineLearning, GenerativeAI, LLMs, Diffusion, APIs, SQL, GoogleAnalytics, ABTesting, MultivariateTesting, VertexAI, SageMaker, Bedrock, OpenAI, VectorDatabases, PromptEngineering, Agile, Scrum, UX, Wireframing 🏢 Description: Job Summary: The Senior Product Manager – Recommendations & AI will lead the evolution of our e-commerce platform's personalization and AI-driven experiences. This role will focus on leveraging advanced recommendation algorithms and generative AI to deliver highly relevant and engaging customer journeys across all platforms (desktop, mobile web, and app). You will be responsible for analyzing data, defining a strategic roadmap, and driving the implementation of AI-powered features that enhance product discovery, personalization, and overall customer satisfaction. This role requires close collaboration with cross-functional teams, including engineering, data science, UX/UI, and marketing, to ensure seamless integration and execution of AI initiatives. Job Expectations: Drive AI-Powered Personalization: Lead the development and optimization of AI-driven recommendation systems, leveraging generative AI to create personalized content and experiences that enhance product discovery and conversion. Generative AI Innovation: Explore and implement innovative applications of generative AI, including personalized product descriptions, tailored content generation, and AI-powered chat/search functionalities. Data-Driven Optimization: Analyze user behavior, performance metrics, and A/B testing results to identify opportunities for optimization and improvement of recommendation and AI features. Product Roadmap & Strategy: Define and prioritize the product roadmap for AI-driven recommendations and personalization, aligning with overall business objectives and customer needs. User Research & Insights: Conduct user research and analyze customer feedback to inform product decisions and ensure a customer-centric approach to AI development. Cross-Functional Collaboration: Collaborate with engineering, data science, UX/UI, and marketing teams to define requirements, design solutions, and ensure successful product launches. Product Requirements & Design: Document detailed product requirements, user stories, and design specifications for AI-powered features, ensuring clear communication and alignment across teams. Agile Development: Actively participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives. The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job. Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice. Knowledge, Skills, and Abilities: Required: Deep understanding of e-commerce personalization techniques, including collaborative filtering, content-based filtering, and hybrid recommendation systems. Proven experience with generative AI models (LLMs, diffusion models, etc.) and their application in e-commerce or related fields. Strong understanding of API integrations for AI services. Proficiency in data analysis and interpretation, with experience using tools like Google Analytics, SQL, or similar. Expertise in A/B testing and multivariate experimentation to drive data-driven decision-making. Strong understanding of machine learning concepts and their application to recommendation systems and personalization. Experience in defining and managing product roadmaps and prioritizing features based on business impact and customer value. Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders. Strong understanding of UX/UI principles and best practices, with the ability to contribute to design discussions and wireframing. Experience working in an Agile/Scrum environment. Customer first mentality. Preferred: Experience with cloud-based AI platforms (e.g., Google Cloud AI or Vertex AI, AWS SageMaker or Bedrock, OpenAI Enterprise). Experience with personalization platforms. Experience with vector databases. Experience with prompt engineering. Experience Requirements: Generally requires seven (7) or more years of Product Ownership within an e-commerce or consumer software setting. Education Requirements: Bachelor’s Degree required. A Computer Science or similar technical degree is preferred. #LI-JC1The anticipated pay scale for this position can be found below, however the pay range applicable to you may vary by geographic location based on where the job is located or where you work. The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type of years and experience within the industry, education, etc. iHerb, LLC is a multi-state employer and this pay scale may not reflect positions that work in other states or locations.Employees (and their families) that meet eligibility criteria as outlined in applicable plan documents are eligible to participate in our medical, dental, vision, and basic life insurance programs and may enroll in our company’s 401(k) plan. Employees will also be eligible for Time Off and Paid Sick Leave pursuant to the company’s policies. Employees will enjoy paid holidays throughout the calendar year. Eligibility requirements for these benefits will be controlled by applicable plan documents. Hired applicant may be awarded Restrict Stock Units and receive annual bonuses pursuant to eligibility and performance criteria defined in the respective plan documents and policies. For more information on iHerb benefits, visit us at iHerbBenefits.com.Anticipated Pay Scale:$177,000—$220,000 USD Staffing Agency Submission Notice iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to staffingvendors@iherb.com. Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization. About iHerbiHerb is on a mission to make health and wellness accessible to all. We offer Earth’s best-curated selection of health and wellness products, at the best possible value, delivered with the most convenient experience.We’re the world’s largest eCommerce platform dedicated to vitamins, minerals, and supplements, and other health and wellness products. For more than 25 years, we’ve been making it simple for people all over the world to purchase the highest quality products. From supplements to skincare to grocery items, we ship over 50,000 products, from over 1,800 brands direct to our customers in 180+ countries.Our vision is to become the #1 destination for health and wellness across the world.With a passion for wellness and a mind for innovative solutions, iHerb team members share a vision for a healthier world that drives them each day. Our 5 Shared Values unite our global team: Focus on the Customer · Empower Our People · Be Entrepreneurial & Pivot Quickly · Embrace Diversity & Inclusion · Strive for Simplicity iHerb BenefitsAt iHerb, we are dedicated to offering programs designed to help our employees and their families stay healthy, live well, and plan for their financial future. Built on a strong foundation, our programs provide options and upgrades with flexibility, protection, and security in mind. For the comprehensive benefits list, visit www.iHerbBenefits.com. For our international team members, you may be eligible for benefits depending on the country where you are employed. The Talent Acquisition Partner/local HR representative will go over the benefits you are eligible for. iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.

🏢 Summary: Senior Product Manager – Growth responsible for defining and executing growth strategy across a B2C ecommerce platform, driving measurable improvements in acquisition, conversion, retention, and lifetime value. Owns experimentation roadmap, leads high-velocity A/B testing, and collaborates with Engineering, Marketing, and Data to optimize web and app funnels. Accountable for translating business goals into product initiatives and delivering scalable growth features. 🗂️ Requirements: 7+ years Product Management experience in B2C ecommerce or marketplace, Proven record of driving measurable growth results, Expertise in A/B and multivariate testing, Proficiency in data analysis and interpretation, Experience with Google Analytics and SQL, Ability to work with APIs, tracking pixels, and data schemas, Understanding of event-driven architectures and system integrations, Experience defining and managing product roadmaps, Experience working in Agile/Scrum environments, Strong knowledge of UX/UI principles, Bachelor’s Degree required 📃 Skills: CRO, ABTesting, MultivariateTesting, GoogleAnalytics, SQL, APIs, Analytics, Agile, Scrum, UX, UI, Wireframing, Ecommerce, SEO, Attribution 🏢 Description: Job Summary: The Senior Product Manager – Growth will own the strategy, experimentation roadmap, and execution of growth initiatives across iHerb’s B2C ecommerce experience. This role is accountable for driving measurable improvements in acquisition, engagement, conversion, retention, and lifetime value across web, app, and owned marketing channels. This is a hands-on role where you will be responsible for identifying friction in the customer journey and run high velocity experiments to optimize the funnel. You are a "full-stack" growth thinker who understands how to use data and insights to unlock revenue and customer value at scale. Job Expectations: Own the end-to-end strategy for growth initiatives, focusing on conversion rate optimization (CRO), referral loops, and retention mechanics. Identify, prioritize, and execute high-impact growth opportunities across ecommerce surfaces and owned channels. Translate business goals into clear product requirements, participate in agile development processes, including backlog prioritization, sprint planning, and reviews. Design, deploy, and analyze A/B and multivariate tests across web and app platforms to improve key funnel metrics. Work closely with Engineering to build scalable growth features and with Marketing to align paid/organic traffic with high-converting product experiences. Partner with Data and Analytics to define and track North Star metrics and leading indicators Lead a dedicated or cross-functional growth squad, managing backlogs and sprints with a high velocity of shipping. Clearly communicate results, learnings, and tradeoffs to executive and cross-functional stakeholders Act as a strategic partner to Marketing, enabling personalization, lifecycle marketing, content operations, and experimentation through technology. Knowledge, Skills, and Abilities Required: Proven track record of driving "move the needle" results in a B2C e-commerce or marketplace environment. Expertise in A/B testing and multivariate experimentation to drive data-driven decision-making. Proficiency in data analysis and interpretation, with experience using tools like Google Analytics, SQL, or similar. Comfort working with Engineers on APIs, tracking pixels, and data schemas to ensure clean attribution and event logging. Excellent communication skills with the ability to translate technical concepts to non-technical stakeholders. Ability to work effectively with Engineering, Design, Marketing, and Data in fast-moving, cross-functional teams. Solid understanding of APIs, event-driven architectures, data flows, and system integrations. Customer-first and outcomes-driven mindset. Experience in defining and managing product roadmaps and prioritizing features based on business impact and customer value. Strong understanding of UX/UI principles and best practices, with the ability to contribute to design discussions and wireframing. Experience working in an Agile/Scrum development process. Preferred: Direct experience optimizing international e-commerce funnels Background in SEO-driven product growth or referral program management. Experience supporting international or multi-brand e-commerce platforms. Experience Requirements: Generally requires seven (7) or more years of Product Management or Product Ownership experience within a consumer software, e-commerce, or platform-focused environment. Education Requirements: Bachelor’s Degree required. A Computer Science, Engineering, Information Systems, or similar technical degree is preferred. #LI-JC1The anticipated pay scale for this position can be found below, however the pay range applicable to you may vary by geographic location based on where the job is located or where you work. The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type of years and experience within the industry, education, etc. iHerb, LLC is a multi-state employer and this pay scale may not reflect positions that work in other states or locations.Employees (and their families) that meet eligibility criteria as outlined in applicable plan documents are eligible to participate in our medical, dental, vision, and basic life insurance programs and may enroll in our company’s 401(k) plan. Employees will also be eligible for Time Off and Paid Sick Leave pursuant to the company’s policies. Employees will enjoy paid holidays throughout the calendar year. Eligibility requirements for these benefits will be controlled by applicable plan documents. Hired applicant may be awarded Restrict Stock Units and receive annual bonuses pursuant to eligibility and performance criteria defined in the respective plan documents and policies. For more information on iHerb benefits, visit us at iHerbBenefits.com.Anticipated Pay Scale:$1,000—$220,000 USD Staffing Agency Submission Notice iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to staffingvendors@iherb.com. Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization. About iHerbiHerb is on a mission to make health and wellness accessible to all. We offer Earth’s best-curated selection of health and wellness products, at the best possible value, delivered with the most convenient experience.We’re the world’s largest eCommerce platform dedicated to vitamins, minerals, and supplements, and other health and wellness products. For more than 25 years, we’ve been making it simple for people all over the world to purchase the highest quality products. From supplements to skincare to grocery items, we ship over 50,000 products, from over 1,800 brands direct to our customers in 180+ countries.Our vision is to become the #1 destination for health and wellness across the world.With a passion for wellness and a mind for innovative solutions, iHerb team members share a vision for a healthier world that drives them each day. Our 5 Shared Values unite our global team: Focus on the Customer · Empower Our People · Be Entrepreneurial & Pivot Quickly · Embrace Diversity & Inclusion · Strive for Simplicity iHerb BenefitsAt iHerb, we are dedicated to offering programs designed to help our employees and their families stay healthy, live well, and plan for their financial future. Built on a strong foundation, our programs provide options and upgrades with flexibility, protection, and security in mind. For the comprehensive benefits list, visit www.iHerbBenefits.com. For our international team members, you may be eligible for benefits depending on the country where you are employed. The Talent Acquisition Partner/local HR representative will go over the benefits you are eligible for. iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Senior Data Engineer role focused on designing and building scalable serverless data ingestion pipelines in AWS within the healthcare domain. The position emphasizes strong Python engineering, cloud architecture leadership, and implementation of modern data platforms and DevOps practices. The role involves driving technical excellence and delivering reliable, high-impact data solutions in an international environment. 🗂️ Requirements: 10+ years of experience in Python programming, Strong software engineering skills in data processing, Extensive experience with AWS Cloud and Serverless Architecture, Hands-on experience with AWS Lambda, S3, and Cognito, Experience building E2E automated tests for data pipelines, Practical knowledge of Data Mesh and Medallion Architecture, Experience with Infrastructure as Code using AWS CDK or Terraform, Experience with CI/CD pipelines using GitLab or GitHub Actions, Experience with ETL/ELT processes and dbt, Experience working with GraphQL, Minimum B2 level English proficiency 📃 Skills: Python, AWS, Lambda, S3, Cognito, Boto3, DataMesh, Medallion, CDK, Terraform, GitLab, GitHubActions, ETL, ELT, dbt, GraphQL, CI/CD 🏢 Description: We are looking for a highly skilled Data Engineer to join our client in the healthcare sector. Our requirements: Technical Expertise: Python Programming: 10+ years of experience with strong Software Engineering skills focused on data processing. AWS & Serverless: Extensive experience with AWS Cloud, specifically focusing on Serverless Architecture and services (including AWS Lambda , AWS S3 Tables , and AWS Cognito ). Automated Testing: Proven experience in developing End-to-End (E2E) automated tests to ensure pipeline reliability, utilizing tools such as Boto3 for AWS resource validation. Data Concepts: Practical knowledge of Data Mesh and Medallion Architecture , along with general data processing and analysis. DevOps & IaC: Hands-on experience with Infrastructure as Code ( AWS CDK or Terraform ) and CI/CD pipelines ( GitLab pipelines or GitHub Actions ). Modern Tooling: Experience with ETL/ELT solutions, dbt , and GraphQL . Communication & Soft Skills: English Language: Minimum B2 level , enabling smooth daily technical and business communication in a global environment. Collaboration: Excellent communication skills and the ability to thrive in a collaborative, international team. Standards: A strong commitment to high standards of ethics, quality (Clean Code), and reliable delivery. Nice to have: Experience with Snowflake and SQL . Knowledge of Data Vault 2.0 modeling. Experience with Databricks . Familiarity with the Microsoft ecosystem: C# / .Net, T-SQL, SQL Server , and Azure DevOps . Experience with Star Schema database modeling. Knowledge of Descriptive Statistics. Your responsibilites: Design and build scalable Data Ingestion pipelines within the AWS cloud ecosystem. Lead technical delivery and implementation of core platform components, ensuring architectural integrity across the entire data lifecycle. Collaborate with Engineering Managers and cross-functional teams across the globe and Poland. Drive technical excellence by improving team processes, architecture standards, and engineering best practices. Support and consult with stakeholders to ensure successful delivery of high-impact, data-driven solutions. Contribute to the growth and maturity of the team’s cloud and data engineering capabilities. We offer: Challenging role within the company that creates innovative solutions. Work in international environment on demanding projects. Remote work model. Subsidized private medical care, life insurance, multisport card. Integration meetings. Employee referral program. If you have a deep expertise in Python and AWS , and building scalable Serverless data architectures is where you truly excel, this is the perfect role for you!

🏢 Summary: Senior Software Engineer I role focused on building and maintaining large-scale data platforms, pipelines, and AI-driven applications for measurement and reporting in the AdTech space. The position involves developing scalable batch and real-time data systems, backend services, and agentic AI solutions, with occasional frontend work. On-site presence is required four days per week in Manhattan or Denver. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, 5+ years of experience in data engineering or software engineering, Experience building large-scale data pipelines and distributed data processing systems, Proficiency in Python, Proficiency in SQL, Experience with modern data platforms (e.g., Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks), Strong knowledge of data modeling, data warehousing, and data lakes, Experience with relational and NoSQL databases, Experience with AWS, Azure, or Google Cloud, Experience building APIs and backend services, Familiarity with Generative AI, AI agents, RAG, and orchestration frameworks, Experience writing unit, integration, and end-to-end tests, Ability to work on-site 4 days per week in Manhattan or Denver 📃 Skills: Python, SQL, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks, MySQL, PostgreSQL, MongoDB, Redis, AWS, Azure, GCP, APIs, LLM, RAG, LangChain, LangGraph, CrewAI, AutoGen, Scala, PySpark, Docker, Kubernetes, React, TypeScript, CI/CD 🏢 Description: We require people to be on-site, 4 days/week at our Manhattan or Denver office and are unable to offer relocation support. The Opportunity We are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. We enable our clients to visualize their impact across different verticals and empower our sales and operations teams to identify opportunities and address shortcomings during campaign execution. You will primarily work on designing, building, and maintaining large-scale data platforms and pipelines that power our reporting, analytics, and AI-driven solutions. In addition, you will contribute to the development of agentic AI applications that help automate workflows, enhance operational efficiency, and unlock new capabilities across the organization. You may also occasionally work on frontend applications to deliver end-to-end solutions and improve user experiences. If you're passionate about building scalable data systems, leveraging AI technologies, and solving complex engineering challenges at scale in the AdTech space, we want to hear from you! Responsibilities - Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems supporting reporting, analytics, and machine learning applications. - Build and optimize batch and real-time data processing solutions using modern data engineering frameworks and cloud-native technologies. - Design and maintain data models, data warehouses, and data lakes to ensure high-quality, reliable, and accessible data. - Develop and maintain integrations between internal and external systems, ensuring efficient data movement and consistency across platforms. - Build and enhance agentic AI applications, leveraging LLMs, AI agents, orchestration frameworks, and automation workflows to solve business problems. - Collaborate with product, analytics, operations, and engineering teams to identify opportunities for AI-driven automation and intelligent decision-making. - Contribute to backend services and APIs that support data products, reporting applications, and AI-powered solutions. - Occasionally develop frontend features and dashboards to support internal and customer-facing applications. - Monitor, troubleshoot, and optimize data pipelines and AI systems for performance, reliability, scalability, and cost efficiency. - Implement data governance, quality checks, monitoring, and observability practices to ensure data integrity and operational excellence. - Conduct code reviews, provide constructive feedback, and promote engineering best practices across the team. - Mentor junior engineers and contribute to a culture of continuous learning, innovation, and technical excellence. Requirements - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - 5+ years of experience in data engineering, software engineering, or a related technical role. - Strong experience building and maintaining large-scale data pipelines and distributed data processing systems. - Proficiency in Python and SQL, with experience developing production-grade data solutions. - Experience with modern data platforms and technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar technologies. - Strong understanding of data modeling, data warehousing, and data lake architectures. - Experience working with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis). - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience building APIs and backend services. - Familiarity with Generative AI technologies, AI agents, prompt engineering, retrieval-augmented generation (RAG), and agent orchestration frameworks. - Demonstrated ability to stay current with AI tools and emerging technologies, with a strong aptitude for rapidly learning and adopting new frameworks. - Proficiency in writing and maintaining unit tests, integration tests, and end-to-end tests. - Ability to coordinate and work with contractors/consultants while owning the quality and delivery of assigned projects. Preferred - Familiarity with AdTech. - Experience with Scala/PySpark and distributed data processing frameworks. - Experience with Databricks and Delta Lake. - Experience building production AI applications using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies. - Familiarity with vector databases and semantic search technologies. - Experience with CI/CD pipelines and Infrastructure as Code. - Familiarity with containerization (Docker) and orchestration platforms (Kubernetes). - Exposure to frontend technologies such as React, TypeScript, or modern JavaScript frameworks. - Experience with observability, monitoring, and data quality tools. Compensation Range: $135K - $220K Additional Compensation Details: Tier 2 (all other U.S. Locations outside of Tier 1) Salary: $135K – $192.5K Bonus: Offers Bonus Tier 1 (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area) Salary: $154K – $220K Bonus: Offers Bonus

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to improve performance and scalability of global data systems. It is a hands-on role working with large-scale data pipelines, streaming, and cloud environments. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills in Python, Java, or Kotlin, Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven architectures or streaming systems, Understanding of end-to-end data flow and data modeling, Experience designing scalable and reliable data systems, Experience with infrastructure automation tools 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to support global, data-intensive applications. The engineer will enhance performance, scalability, and observability of production datastores across a multi-region environment. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Hands-on experience with relational or NoSQL databases, Experience with large-scale data pipelines and data processing systems, Experience with event-driven architectures or streaming/batch processing, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable, high-performance, reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior BI and Analytics Engineer responsible for building and optimizing scalable data tools and pipelines within a modern data stack to deliver trusted, high-quality insights across the organization. The role focuses on SQL-driven analytics, data modeling, DataOps practices, and cross-functional collaboration to enable data-driven decision-making. You will develop robust data transformations, maintain data quality, and create impactful dashboards and reverse ETL workflows. 🗂️ Requirements: BSc/MA in Computer Science, Statistics, Math, Engineering or related quantitative field, Minimum 4 years experience in analytics engineering, data engineering, data analytics or related field, Advanced SQL expertise, Experience with in-warehouse transformation tools (dbt preferred), Experience designing and querying OLAP data warehouses (Snowflake or BigQuery), Minimum 1 year experience with BI tools (Looker preferred), Experience with dimensional data modeling (Kimball or Data Vault), Experience building and maintaining data pipelines, Command line proficiency, Git version control experience 📃 Skills: SQL, dbt, Snowflake, BigQuery, Looker, Airflow, FiveTran, OLAP, Kimball, DataVault, Git, Bash, Python, Docker, Kubernetes, ECS, Snowplow 🏢 Description: Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world's largest online therapy service, providing affordable and convenient therapy in across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we're not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a Senior BI and Analytics Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for? We are looking for a Senior Business Intelligence and Analytics Engineer to help us in developing best in class data tools to deliver high quality tools and services and maintain our accelerated growth. These tools must be developed and maintained using best practices to ensure scalability and stakeholder trust as we grow in both size and scope. You will work cross functionally closely with both technical and business stakeholders across the company, as well as optimize our data stack for delivering trustworthy, discoverable, impactful data to fit their needs. What will you do? Act as a subject matter expert (SME) and deliver training to the cross functional teams to enable business users to make data-driven decisions. Deliver direct analytical insights like dashboards and ad-hoc analyses to business stakeholders Collaborate with the teams across the company to understand their use cases and deliver high value data tools Live and breathe SQL Ensure data quality and freshness at every step of the pipeline for data trust and consistency Create reverse ETL flows to make modeled data directly to stakeholders in the tools they use to foster fast and informed decision making Define and build robust DataOps pipelines and data expectations to ensure the effective delivery of data to all internal data services Explore, propose, and integrate new data sources and software solutions into the reporting environment Contribute to data-driven culture at BetterHelp by directly training stakeholders as well as creating resources such as documentation for empowering others to perform their own analyses Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. Partner with data and machine learning engineers and work with a modern data stack: Airflow, FiveTran, Snowflake, dbt, and Looker What will you NOT do? You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success. You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do. You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here! You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really. Can I work remotely? Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel. Requirements BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering At least 4 years of experience in an analytics engineering, data engineering, data analytics, or a related field Advanced experience working with data pipeline tools, particularly in-warehouse transformation tools (preferably dbt) Advanced experience with SQL Experience querying and designing performant tables within OLAP data warehouses (e.g. Snowflake, BigQuery) At least 1 year experience working & developing with BI Tools (preferably Looker) Familiarity with frameworks and tradeoffs in building complex data models, preferably working work dimensional modeling frameworks (e.g. Kimball, Data Vault) Excellent communication (oral and written), attention to detail, time management and organizational skills Experience and comfort using the command line Experience using git for version control Bonus (Great to have, but not required) Familiarity with patterns for handling large-scale data transformations (e.g. dbt incremental models, horizontal/vertical scaling big data patterns) Experience working with Python-based workflow orchestration tools (e.g. Airflow) Experience working with Docker and container orchestration (e.g. Kubernetes, ECS) Experience with web-based B2C, marketplace products Familiarity with web event tracking tools like Snowplow Experience defining and building DataOps practices and deployment strategies Experience defining data governance procedures & working with data catalogs Benefits Remote work with regular in-person bonding experiences sponsored by the company Competitive compensation Holistic perks program (including free therapy, employee wellness, and more) Excellent health, dental, and vision coverage 401k benefits with employer matching contribution The chance to build something that changes lives – and that people love Any piece of hardware or software that will make you happy and productive An awesome community of co-workers The base salary range for this position is $100,000 - $155,000 In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions. At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.