Analytics Engineer, Platform

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready datasets for PBM and care navigation operations. The position involves developing dbt-based data models, optimizing cloud data platforms, implementing data quality frameworks, and enabling AI-assisted analytics capabilities. Candidates will collaborate cross-functionally to deliver reliable, maintainable, and auditable data solutions in a modern analytics environment. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, data warehousing or related field, Strong experience with dbt, Advanced SQL proficiency, Experience developing data transformations and workflows using Python, Understanding of dimensional modeling and scalable data architecture, Experience building production-grade data models and data quality tests, Experience with cloud data warehouses, Experience orchestrating and monitoring data pipelines, Experience working in cloud environments, Familiarity with Git and CI/CD workflows, Knowledge of testing and deployment workflows, Strong problem-solving and analytical skills, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: • Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space • Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence • Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models • Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs • Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability • Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability • Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability • Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability • Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation • Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows WHO YOU ARE: • 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field • Strong experience with dbt and modern analytics engineering best practices (required) • Advanced SQL proficiency and experience developing data transformations and workflows using python • Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles • Experience building and maintaining production-grade data models, data quality tests, and documentation • Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery • Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow, Dagster etc. • Experience working within cloud environments, preferably AWS • Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows • Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as Claude, Claude Skills, Model Context Protocol (MCP) and AI assisted engineering practices • Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions • Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready datasets for PBM and care navigation operations. The position emphasizes dbt-based data modeling, cloud data warehousing, automated data quality processes, and collaboration across analytics, engineering, and business teams. The role also supports AI-enabled analytics capabilities and self-service data platforms. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, data warehousing or related field, Strong experience with dbt, Advanced SQL proficiency, Experience developing data transformations and workflows with Python, Understanding of dimensional modeling and scalable data architecture, Experience building production-grade data models and data quality tests, Experience with cloud data warehouses, Experience orchestrating and monitoring data pipelines, Experience working in cloud environments, Familiarity with Git and CI/CD workflows, Experience with testing and deployment workflows, Strong problem-solving and analytical skills, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence. Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models. Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs. Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability. Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability. Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability. Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability. Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation. Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows. WHO YOU ARE: 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field. Strong experience with dbt and modern analytics engineering best practices (required). Advanced SQL proficiency and experience developing data transformations and workflows using python. Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles. Experience building and maintaining production-grade data models, data quality tests, and documentation. Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery. Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc. Experience working within cloud environments, preferably AWS. Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows. Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as claude, claude skills, Model Context Protocol (MCP) and AI assisted engineering practices. Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions. Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders. COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity Compensation offered will be determined by geographic location, experience, and qualifications.CYBERSECURITY AWARENESS NOTICE In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), Rightway wants to inform potential candidates that we will only contact them from the @rightwayhealthcare.com email domain. We will never ask for bank details or deposits of any kind as a condition of employment. ABOUT RIGHTWAY: Rightway is on a mission to harmonize healthcare for everyone, everywhere. Our products guide patients to the best care and medications by inserting clinicians and pharmacists into a patient's care journey through a modern, mobile app. Rightway is a front door to healthcare, giving patients the tools they need along with on-demand access to Rightway health guides, human experts that answer their questions and manage the frustrating parts of healthcare for them. Since its founding in 2017, Rightway has raised over $200mm from investors including Khosla Ventures, Thrive Capital, and Tiger Global. We're headquartered in New York City, with satellite offices in Denver and Dallas. Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs. HOW WE LIVE OUR VALUES TO OUR TEAMMATES: We're seeking those with passion for healthcare and relentless devotion to our goal. We need team members that embody our core values: 1) We are human, firstOur humanity binds us together. We bring the same empathetic approach to every individual we engage with, whether it be our members, our clients, or each other. We are all worthy of respect and understanding and we engage in our interactions with care and intention. We honor our stories. We listen to—and hear—each other, we celebrate our differences and similarities, we are present for each other, and we strive for mutual understanding. 2) We redefine what is possibleWe always look beyond the obstacles in front of us to imagine new solutions. We approach our work with inspiration from other industries, other leaders, and other challenges. We use ingenuity and resourcefulness when faced with tough problems. 3) We debate then commitWe believe that a spirit of open discourse is part of a healthy culture. We understand and appreciate different perspectives and we challenge our assumptions. When working toward a decision or a new solution, we actively listen to one another, approach it with a "yes, and" mentality, and assume positive intent. Once a decision is made, we align and champion it as one team. 4) We cultivate gritChanging healthcare doesn't happen overnight. We reflect and learn from challenges and approach the future with a determination to strive for better. In the face of daunting situations, we value persistence. We embrace failure as a stepping stone to future success. On this journey, we seek to act with guts, resilience, initiative, and tenacity. 5) We seek to delightHealthcare is complicated and personal. We work tirelessly to meet the goals of our clients while also delivering the best experience to our members. We recognize that no matter the role or team, we each play a crucial part in our members' care and take that responsibility seriously. When faced with an obstacle, we are kind, respectful, and solution-oriented in our approach. We hold ourselves accountable to our clients and our members' success. Rightway is proud to be an Equal Opportunity Employer that believes in the strength of diverse thought, beliefs, backgrounds, and education. We foster an inclusive culture where differences are celebrated to drive the best business decisions possible. We do not discriminate on any basis protected by applicable law. All employment decisions are based on merit, qualifications, need, and performance.

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready models for PBM and care navigation operations using dbt, SQL, and cloud data platforms. The position involves developing reliable data pipelines, implementing data quality frameworks, and enabling self-service and AI-assisted analytics capabilities. Candidates will collaborate across technical and business teams to create maintainable, auditable, and high-performance data solutions. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, data warehousing or related field, Strong experience with dbt, Advanced SQL proficiency, Experience developing data transformations and workflows using Python, Understanding of dimensional modeling and scalable data architecture, Experience building production-grade data models and data quality tests, Experience with cloud data warehouses, Experience orchestrating and monitoring data pipelines, Experience working in cloud environments, Familiarity with Git and CI/CD workflows, Knowledge of testing and deployment workflows, Strong problem-solving and analytical skills, Effective communication and collaboration skills 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: • Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space • Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence • Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models • Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs • Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability • Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability • Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability • Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability • Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation • Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows WHO YOU ARE: • 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field • Strong experience with dbt and modern analytics engineering best practices (required) • Advanced SQL proficiency and experience developing data transformations and workflows using Python • Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles • Experience building and maintaining production-grade data models, data quality tests, and documentation • Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery • Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow, Dagster etc. • Experience working within cloud environments, preferably AWS • Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows • Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as Claude, Claude Skills, Model Context Protocol (MCP) and AI assisted engineering practices • Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions • Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.

🏢 Summary: Fully remote Analytics Engineer role in an international SaaS environment focused on Customer Data Platforms and Marketing Automation. The position centers on building and scaling product analytics foundations, including event tracking, data integrations, and data pipelines to support customer engagement and product insights. You will collaborate with Product, Engineering, and Data teams to deliver scalable, data-driven solutions across global customer environments. 🗂️ Requirements: Strong experience with Python, Solid SQL skills, Experience with APIs and integrations, Experience implementing event tracking or analytics instrumentation, Understanding of Product Analytics and customer behavior metrics, Experience working with SaaS products 📃 Skills: Python, SQL, APIs, ETL, DataPipeline, Countly, Analytics, SaaS 🏢 Description: Analytics Engineer (Python & Product Analytics) | Remote | Long-Term International Project We are looking for an Analytics Engineer to join an international SaaS company operating in the Customer Data Platform and Marketing Automation space. This is a fully remote opportunity where you'll help build the analytics foundations that power customer engagement, product insights, and data-driven decision-making across a global customer base. Main Responsibilities As an Analytics Engineer, you will: Design and implement frontend and backend tracking events. Build data collection and integration solutions using Python. Fetch, process, and structure product data across multiple customer environments. Support the implementation and integration of Product Analytics platforms such as Countly or similar solutions. Develop data pipelines that enable customer engagement initiatives and product performance reporting. Work closely with Product, Engineering, and Data teams to deliver scalable analytics capabilities. Key Requirements Strong experience with Python. Solid SQL skills. Experience with APIs and integrations. Experience implementing event tracking, instrumentation, or analytics solutions. Understanding of Product Analytics and customer behavior metrics. Experience working with SaaS products. Nice to Have ETL and Data Pipeline experience. Modern Data Stack exposure. Experience in Customer Data Platforms or Marketing Technology environments. Other Details This role offers a fully remote project in an international product environment. You will have a direct impact on a leading Customer Data & Marketing Automation platform and work across Data, Product, and Engineering domains. Interested? Feel free to reach out to learn more.

🏢 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: Design and scale high-throughput data pipelines on cloud platforms to support advanced analytics and AI-driven products. The role focuses on building distributed data architectures in AWS and Databricks, ensuring performance, governance, and data quality. You will collaborate with AI/ML teams to deliver scalable, production-grade data solutions. 🗂️ Requirements: 3+ years of data engineering experience, Strong Python programming skills, Experience with Spark or Scala, Experience building distributed data pipelines in cloud environments, Knowledge of data modeling and data warehousing principles, Bachelor’s or Master’s degree in Computer Science or Engineering 📃 Skills: Python, Spark, Scala, AWS, Glue, EMR, Fargate, StepFunctions, Databricks, SQL, APIs, GenAI, GraphDB 🏢 Description: Data Engineer – Cloud & AI Platforms We’re looking for a Data Engineer to design and scale high-throughput data pipelines supporting advanced analytics and AI-driven products. What You’ll Do Architect and maintain distributed data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions) Ingest and process large volumes of structured and unstructured data (internal, market, third-party, alternative sources) Collaborate with AI/ML and engineering teams to design scalable data architectures and APIs Optimize performance and cost using Spark and cloud-native best practices Implement data governance, privacy, lineage, and access controls Build automated validation, monitoring, and data quality frameworks Evaluate emerging GenAI and data tooling to enhance platform capabilities What You Bring 3+ years of experience in data engineering Strong Python and experience with Spark or Scala Proven experience building distributed pipelines in cloud environments Solid understanding of data modeling, architecture, and warehousing principles Innovative problem-solving mindset Bachelor’s or Master’s degree in Computer Science or Engineering Nice to have: Experience with graph databases.

🏢 Summary: Opportunity for an experienced Adobe Target Consultant / Engineer to design and deliver personalization and testing solutions within Adobe Experience Cloud for a global pharmaceutical client. The role focuses on solution architecture, implementation, and optimization of Adobe Target and related platforms, supporting customer engagement and platform migrations. You will work across web and mobile environments, driving A/B testing, tagging, analytics integration, and technical consulting in an Agile setup. 🗂️ Requirements: 5+ years of experience with Adobe solutions, especially Adobe Target and Adobe Analytics, Strong experience in designing and leading Adobe Target implementations across web, mobile, and apps, Hands-on development skills in JavaScript, HTML, CSS, Data layers, Experience with Adobe Experience Cloud setup analysis and solution design, Experience with tagging and test implementation (A/B, XT), Knowledge of marketing technology stack focused on content personalization, Experience working in Agile methodologies (Scrum, Kanban), Bachelor’s degree in Computer Science, Engineering, related field or 4+ years relevant experience 📃 Skills: AdobeTarget, AdobeAnalytics, AdobeExperienceCloud, AdobeExperienceManager, AdobeLaunch, AdobeSensei, JavaScript, HTML, CSS, DataLayers, Agile, Scrum, Kanban, ABTesting, Personalization 🏢 Description: Adobe Target Consultant / Engineer We are looking for an Adobe Target Consultant / Engineer to join our technical teams working for a global client in the pharmaceutical industry. In this role you will be responsible for pioneering the solution design and development of Adobe Target solutions. The encompassing program's purpose is to develop and maintain key Customer Engagement Solution Layers, based on Adobe Experience Manager platforms (both on-prem and cloud). For the year 2026, there is a plan for further growth and migrations of features and products from deprecated platforms onto the solutions in scope. Your responsibilities: Analyzing the client’s Adobe Experience Cloud setup and proposing solutions to fulfill business objectives in the long term Designing and spearheading the delivery of solutions based on Adobe Target Implement tagging and AB/XT test using Adobe Experience Cloud platform supporting organization’s reporting, analytics, and personalization objective Application development supporting business objectives while providing mid-level experience in software development lifecycle phases from concept and design to testing Advising marketing partners on technical and creative issues, choosing and implementing solutions and ensuring safety and trade compliance of systems and products Delivering of designed solutions for content personalization (Recommendations, Auto personalization, Auto-allocate) Implementing and maintaining the tracking of user behavior on public-facing website using Adobe Launch tag management system, to provide data for use in Adobe Analytics and Adobe Target Troubleshooting front end performance issues related to tagging and testing using JavaScript, CSS, HTML Configuring, administering, and onboarding new personnel to Adobe Target Ensuring that programs/projects are delivered on time and results meet budget, time, quality, and strategic and tactical key performance goals Recommending, developing, and implementing process improvements to enable personalized experience on the client’s sites. We are looking for you, if you have: 5+ years experience on several Adobe solutions, especially the Adobe Target & Adobe Analytics Familiarity using artificial intelligence and machine learning technology such as Adobe Sensei is an added advantage Knowledge of Marketing technology stack with focus on content personalization solutions Development skills: JavaScript, HTML, CSS, Data layers Strong experience in assessing multiple vendor solutions Experience in partnering with Business and IT teams at multiple levels to drive alignment and delivery of complex problems Experience in leading Adobe target implementations across Web, mobile, and apps Ability to work collaboratively with cross functional teams like product owners, technologies teams, and marketing partners. Demonstrates creative, technical, and analytical skills. Able to work with distributed team members under Agile methodologies (Scrum, Kanban). Bachelor's degree in Computer Science, Engineering, or any other related marketing field or 4 or more years of work experience We’ll be a great match if you: Have strong consulting and negotiation skills, and a client-oriented mindset. Be proactive and accountable in your role and build trust within your team. Enjoy collaboration, sharing knowledge, and working toward common goals. Demonstrate flexibility and adapt easily to different working styles and priorities. Show commitment to quality and continuously look for ways to improve. Have a growth mindset, eager to learn and develop new skills. We offer: Participation in interesting and demanding projects. Flexible working hours. A great, non-corporate atmosphere. Possibility to work remote or hybrid (2 days per week from the office). Opportunities for development and promotion. Attractive package of benefits. We reserve the right to contact the selected candidates.

🏢 Summary: Full-time Data Analytics Engineer role focused on building and maintaining DBT models in Snowflake, developing Tableau dashboards, and modernizing data infrastructure to support self-serve analytics. The position combines hands-on data modeling, stakeholder ownership, and operational support in a growing US analytics team. Offers competitive salary, stock options, learning budget, comprehensive benefits, and an office-first setup in Boulder. 🗂️ Requirements: Strong experience building or structuring datasets, Solid SQL skills, Hands-on DBT Core experience, Hands-on Snowflake experience, Proven experience building Tableau dashboards, Ability to independently gather requirements and manage stakeholders, High attention to data quality, Experience troubleshooting data pipelines and reporting issues 📃 Skills: SQL, DBT, Snowflake, Tableau, Salesforce, GitHub, Copilot, Cursor, AI, LLMs 🏢 Description: Data Analytics Engineer — Boulder, Colorado Full-time | Boulder, CO | No visa sponsorship available The US Analytics team is building the data foundations that power US operations. We design reliable data models, keep our infrastructure clean, and turn complex datasets into insights the business can act on. You'll join at a point where there's real work to own — from shaping how data is structured to improving the tools and dashboards that teams rely on every day. What you'll do Build, maintain, and document DBT models in a Snowflake environment, keeping data clean, reliable, and well-structured Develop and maintain Tableau dashboards and data sources that stakeholders across the business trust and use independently Rotate through day-to-day data operations support — handling ad hoc requests, troubleshooting reporting issues, and diagnosing pipeline problems Contribute to modernizing our data infrastructure, helping business stakeholders self-serve through AI-assisted tooling Own stakeholder relationships independently — gathering requirements, setting clear expectations, and communicating confidently with technical and non-technical audiences alike You'll be great for this role if… Strong experience building or structuring datasets — not just querying them based on others work Solid SQL, DBT Core skills, hands-on experience with Snowflake Proven ability to build Tableau dashboards that stakeholders genuinely rely on Strong communicator who can own stakeholder conversations, gather requirements, manage expectations, and push back when a request isn't clearly defined High attention to data quality and the confidence to work through problems independently before escalating Familiarity with AI-assisted data tools such as GitHub Copilot or Cursor Familiarity with Salesforce Bonus points for: Advanced DBT experience Experience with self-serve or semantic data layers Contributions to an AI agent knowledge base or prompt engineering work Understanding of the limitations of LLMs when applied to data problems Previous experience in a fast paced, team environment Why you should join Opportunity to work on large-scale fintech products used by millions of businesses worldwide, from the Boulder office in an office-first setup Enrollment onto the Virtual Stock Option program A dedicated annual learning budget of $2,000 for individual development Generous time off: 22 days of paid vacation, plus an extra day each year up to 28 days, public holidays, and special leaves Health and life coverage: group medical coverage, plus life insurance 401(k) retirement scheme with matching funds 1-month sabbatical after 3 years of service Commitment to Diversity and Inclusion Compensation: $100,000–$120,000 base salary Final compensation will be based on the candidate's experience and location

🏢 Summary: Oferta dotyczy roli Python Backend / Data Engineera odpowiedzialnego za rozwój skalowalnej platformy danych, pipeline’ów oraz usług backendowych i REST API. Stanowisko obejmuje integracje z systemami i zewnętrznymi źródłami danych, dbanie o ich jakość oraz współpracę przy budowie architektury mikroserwisowej. 🗂️ Requirements: Minimum 5 lat doświadczenia jako Python Developer, Bardzo dobra znajomość Python, Doświadczenie z bibliotekami do przetwarzania danych, Doświadczenie w tworzeniu REST API, Bardzo dobra znajomość SQL, Praktyczne doświadczenie z PostgreSQL lub Oracle, Doświadczenie w projektowaniu i utrzymaniu pipeline’ów danych, Znajomość Git, code review, testów automatycznych i CI/CD, Umiejętność projektowania integracji między systemami i pracy z API, Komunikatywna znajomość języka angielskiego 📃 Skills: Python, Pandas, REST, FastAPI, Flask, SQL, PostgreSQL, Oracle, Git, CICD, API 🏢 Description: Do naszego zespołu poszukujemy doświadczonego Python Backend / Data Engineera, który będzie odpowiedzialny za rozwój platformy danych oraz usług backendowych wspierających procesy związane z danymi biznesowymi i rynkowymi. Jeśli lubisz pracować z danymi, budować skalowalne rozwiązania oraz rozwijać nowoczesne API, ta rola jest dla Ciebie. Zakres obowiązków Projektowanie, budowa i utrzymanie pipeline'ów danych odpowiedzialnych za pobieranie, przetwarzanie i transformację danych z systemów wewnętrznych oraz zewnętrznych źródeł rynkowych (Apache Airflow). Tworzenie i rozwój modelu danych z naciskiem na jakość, spójność oraz śledzenie pochodzenia danych. Rozwój i utrzymanie aplikacji backendowych oraz REST API w Pythonie udostępniających dane i logikę biznesową dla systemów wewnętrznych. Integracja z systemami źródłowymi i zewnętrznymi API oraz implementacja rozwiązań opartych o komunikację zdarzeniową. Dbanie o jakość kodu poprzez testy, dokumentację, monitoring oraz kontrolę jakości danych. Współpraca z zespołami produktowymi, architektami, Scrum Masterami oraz programistami przy przekładaniu wymagań biznesowych na stabilne i skalowalne rozwiązania. Dla osób zainteresowanych rozwojem Full Stack – możliwość współtworzenia warstwy frontendowej w Angularze. Wymagania Minimum 5 lat doświadczenia zawodowego jako Python Developer, Bardzo dobra znajomość języka Python. Doświadczenie w pracy z bibliotekami do przetwarzania danych (np. Pandas). Doświadczenie w tworzeniu REST API (FastAPI, Flask lub podobne frameworki). Bardzo dobra znajomość SQL oraz praktyczne doświadczenie z bazami danych PostgreSQL i/lub Oracle. Doświadczenie w projektowaniu i utrzymaniu pipeline'ów danych, mile widziana znajomość Apache Airflow. Znajomość Git, code review, testów automatycznych oraz praktyk CI/CD. Umiejętność projektowania integracji pomiędzy systemami i pracy z API. Komunikatywna znajomość języka angielskiego umożliwiająca pracę w międzynarodowym środowisku. Mile widziane Doświadczenie frontendowe w Angularze. Znajomość rozwiązań chmurowych oraz technologii konteneryzacji (Docker, Kubernetes) . Doświadczenie z platformami event streaming (np. Kafka). Znajomość narzędzi do monitorowania jakości danych i obserwowalności systemów. Podstawowa znajomość procesów Machine Learning oraz współpracy z zespołami Data Science. Doświadczenie w branży motoryzacyjnej, leasingowej, pricingowej lub remarketingowej. Oferujemy Pracę przy rozwoju nowoczesnej platformy danych i systemów backendowych. Udział w projektach wykorzystujących nowoczesne technologie oraz architekturę opartą o mikroserwisy. Współpracę z międzynarodowym zespołem ekspertów. Możliwość rozwoju kompetencji w obszarze Data Engineering, Backend Development oraz Cloud. Elastyczne środowisko pracy oraz realny wpływ na rozwój tworzonych rozwiązań.

🏢 Summary: Senior Salesforce Engineer role focused on owning and evolving a global CRM and digital engagement platform, driving architecture decisions, and delivering scalable, integrated solutions. The position combines hands-on development with technical leadership, shaping the future technology roadmap and mentoring an engineering team. The goal is to enhance performance, scalability, and integration capabilities across distributed systems. 🗂️ Requirements: Proficiency in at least one modern object-oriented language (Java or C#/.NET), Experience with Salesforce ecosystem (Apex, LWC, integrations), Experience leading software engineering teams, Ability to design and integrate complex distributed systems, Experience delivering digital products, Ability to conduct code and design reviews 📃 Skills: Java, C#, NET, Salesforce, Apex, LWC, CRM, APIs, Integration, DistributedSystems, Architecture 🏢 Description: Job Description Are you an engineering engineer ready to build the technology that transforms how we engage with Health Care Professionals (HCPs) globally? We are seeking a hands-on Senior Salesforce Engineer to drive the evolution of our digital ecosystem and mentor a talented team. You will be a key partner to the IT Director, shaping our future technical roadmap and making the decisions that will define our success for years to come. What You'll Achieve in Your First 12-18 Months: Take technical ownership of our core engagement platform (currently centered on Salesforce), improving its performance, scalability, and integration capabilities for our 20+ global markets. Lead the evaluation and proof-of-concept for new technologies that will form the foundation of our next-generation architecture. Establish and embed software engineering best practices, fostering a culture of high-quality code, robust design, and continuous improvement within our hybrid engineering team. Lead the successful delivery of at least one major new product or capability that measurably improves the experience for our sales, brand, and marketing teams. Key Responsibilities: Strategy : Partner with the IT Director and Enterprise Architects to design and govern the technology roadmap, ensuring solutions are scalable, secure, and future proof. Technical Leadership & Mentorship : Lead, mentor, and inspire a hybrid engineering team. Hands-On Development & Oversight : Conduct code and design reviews, contribute to critical parts of the codebase, and set the standard for technical excellence. Platform Evolution : Oversee our core CRM platform (Salesforce), ensuring its optimal performance while actively planning its integration with and/or migration to future systems. Job Qualifications What We're Looking For: Hands-on proficiency in at least one modern object-oriented language (e.g., Java, C#/.NET). Experience with the Salesforce ecosystem (Apex, LWC, integration patterns) is a significant advantage, as it is a core component of our current landscape. Experience leading software engineering teams in the delivery of digital products. Proven ability to design, build, and integrate complex, distributed systems. Excellent communication and leadership skills, with the ability to translate technical vision into business value. We offer P&G-sized projects and access to world leading IT partners and technologies from Day 1. Wide range of self-development possibilities (training and certifications paths). Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards). Regular salary increases and possible promotions - in line with your results and performance. Opportunity to change role every few years to be in the best place for you and best for P&G. At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication. Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions. About us We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more. We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.