Senior Business Intelligence and Analytics Engineer

🏢 Summary: Senior Data Engineer role focused on building and scaling a cloud-native data platform and MLOps ecosystem, including data lakes, warehouses, and production-grade ML infrastructure. The position involves designing scalable data pipelines, operationalizing machine learning models, and implementing CI/CD for data and ML workflows in a modern cloud environment. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Information Systems, or related technical field, 5+ years of experience as a Data Engineer in data and analytics environments, Strong proficiency in data modeling concepts and techniques, Hands-on experience building ETL/ELT pipelines using PySpark, Advanced Python programming skills, Advanced SQL skills including query optimization, Experience with Databricks and cloud data warehousing solutions, Experience operationalizing machine-learning models in production, Hands-on experience with ML tooling (e.g., MLflow, SageMaker, Databricks ML, Kubeflow), Experience implementing CI/CD pipelines for data and ML workflows, Experience containerizing workloads using Docker, Ability to write, test, and debug RESTful APIs, Understanding of model lifecycle management, data versioning, and feature stores, Experience with data quality initiatives such as MDM 📃 Skills: Python, SQL, PySpark, Databricks, S3, Redshift, BigQuery, MLflow, SageMaker, Kubeflow, Docker, CI/CD, REST, MDM, AWS 🏢 Description: Job Description We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem, including our data lake, data warehouse, and machine-learning enablement platforms. This role will contribute to the company’s data-driven culture, bring innovative approaches to cloud-native engineering, and help advance our MLOps capabilities to support production-grade AI/ML initiatives. You will collaborate closely with data scientists, analytics engineers, and cross-functional partners to deliver reliable, high-quality data and operationalized machine-learning solutions. Responsibilities Designs and builds scalable data extracts, integrations, transformations, and data models. Ensures successful deployment and provisioning of data solutions across required environments. Designs and implements data architectures and applications that enable speed, quality, and operational efficiency. Interacts with cross-functional stakeholders to gather and define requirements and translate them into technical designs. Develops deep familiarity with enterprise datasets, builds domain knowledge, and advances data quality. Reviews requirements, identifies gaps, and drives resolution with stakeholders. Identifies and recommends continuous improvement opportunities, ensuring integrations are automated, governed, and observable. Serves as a key team member in designing and deploying a ground-up cloud data platform and pipeline. Partners with data scientists to design, build, and maintain reproducible machine-learning pipelines, including feature engineering, model training, validation, deployment, and monitoring. Implements CI/CD for data and ML workflows (model packaging, automated testing, environment management, release automation). Builds and maintains production-grade ML infrastructure such as feature stores, model registries, data versioning, and experiment tracking frameworks (e.g., MLflow). Ensures ML models follow best-practice governance, including automated model performance monitoring, drift detection, logging, observability, and alerting. Designs scalable data pipelines optimized for ML workloads, such as batch, streaming, and real-time inference use cases. Establishes MLOps standards, coding practices, and automation patterns that scale across teams. Qualifications Bachelor or Master`s degree in technical discipline such as Computer Science, Information Systems or another technical field People person, team player with a strong can-do mentality 5+ years of experience as a Data Engineer within a data and analytics environment. Strong interpersonal skills with a collaborative, proactive, and solution-driven mindset. Proficiency in data modeling concepts and techniques. Expertise with Databricks and other cloud data warehousing solutions such as S3, Redshift, or BigQuery. Hands-on experience building data pipelines and ETL/ELT workflows using PySpark for semi-structured data (merge, delete, combine, wrangling). Advanced knowledge of Python and advanced working SQL skills including query optimization. Ability to write, test, and debug RESTful APIs. Experience working in agile, cross-functional environments. Strong analytical, problem-solving, and critical-thinking capabilities. Ability to guide junior engineers and contribute to technical design reviews. Strong communication skills with the ability to present complex concepts clearly. Experience in data quality initiatives such as Master Data Management (MDM). Experience operationalizing machine-learning models in production environments. Hands-on experience with ML tooling such as MLflow, SageMaker, Databricks ML, Kubeflow, or similar. Experience implementing CI/CD pipelines for data and ML workloads, including automated testing, deployment pipelines, and environment configuration. Understanding of model lifecycle management, data versioning, feature store design, and model monitoring concepts. Experience containerizing ML workloads using Docker and deploying them via cloud-native services or orchestrators. Familiarity with monitoring frameworks, experiment tracking, and performance observability for ML models. Highly Desired AWS certifications (any): DevOps experience with CICD & unit/integration testing, Docker containerization, workflow orchestration Databricks certifications – Associate/Professional AWS Certified Solutions Architect – Associate/Professional AWS Certified Developer – Associate/Professional AWS Certified DevOps Engineer AWS Certified Solutions Architect AWS Certified Data Analytics AWS Certified Security - Specialty AWS Certified Cloud Practitioner #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:$116,000—$170,000 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 Business Analyst role focused on leading enterprise-scale initiatives in a cloud-native SaaS environment, driving data-driven strategy and AI-enabled productivity across business, product, and technology teams. The position shapes business analysis frameworks, defines strategic roadmaps, and influences executive decision-making. Fully remote within U.S. time zones. 🗂️ Requirements: Bachelor’s degree in Business, Information Systems, Technology, or related field, 9–12 years of business analysis or strategic experience in B2B SaaS, Expertise in process, data, and systems analysis, Experience collaborating with Product, Engineering, and GTM teams, Experience with SaaS metrics such as ARR, churn, customer lifecycle, product adoption, Proven experience leveraging AI-powered tools for analysis and decision-making, Ability to lead enterprise-scale initiatives, Legal authorization to work in the U.S. 📃 Skills: SaaS, AI, Analytics, Data, Systems, ARR, Churn, GTM, Cloud, SaaSMetrics 🏢 Description: Elite is the trusted automation platform for law firm operations across most of the world's largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite's products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com.Position Overview The Senior Business Analyst serves as a strategic advisor and enterprise-level thought leader, shaping how Elite defines problems, delivers solutions, and scales analytical excellence. This role focuses on long-term impact, organizational alignment, and elevating business analysis maturity across the company. Work Arrangement: Remote This role requires the individual to be based in Flexible across U.S. time zones. Responsibilities Partner with senior leaders to define enterprise problem statements, success metrics, and strategic roadmaps. Lead mission-critical or enterprise-scale initiatives with high visibility and impact. Drive alignment across business, product, and technology strategies. Identify and scale AI-enabled productivity opportunities, embedding AI-powered tools and workflows to accelerate analysis and improve decision-making across the organization. Anticipate future business needs and proactively design scalable, forward-looking solutions. Demonstrated fluency in leveraging AI-powered tools to accelerate analysis, enhance decision-making, and improve day-to-day productivity. Establish, evolve, and govern business analysis frameworks and best practices. Coach, mentor, and develop business analysts across all levels. Represent the Business Analyst function as a trusted advisor to leadership. Influence enterprise decision-making through data-driven insights and recommendations. Strong stakeholder communication skills. Perform other duties as assigned to support departmental and company objectives. Qualifications Bachelor's Degree in Business, Information Systems, Technology, or related field, or equivalent experience. 9–12 years of experience in business analysis or related strategic roles, preferably within B2B SaaS environments. Deep expertise in process, data, and systems analysis. Experience working cross-functionally with Product, Engineering, and GTM teams in a SaaS organization. Familiarity with key SaaS metrics (e.g., ARR, churn, customer lifecycle, product adoption) and data-driven decision making. Exceptional strategic thinking, judgment, and executive communication skills. Strong change leadership and organizational awareness. Proven ability to scale impact through influence and mentorship. Ability to travel up <10% as business needs require. Role requires the following physical capacity: Sedentary: primarily desk/computer work. Must be legally authorized to work in the United States; Elite does not provide employment sponsorship for this position. Benefits: Competitive Compensation Package ($140,000 - $160,000 base salary + variable component) Comprehensive Healthcare Coverage (Health, Dental, Vision) Retirement Savings Plan with an Employer Contribution Professional Development Opportunities Time Off Wellness Initiatives Employee Assistance Program Generous Global Parental Leave Calm, free premium subscription Employee Discount Program Please note that we do not offer sponsorship for this position. Additional Information At Elite Technology, we embrace an employee-centric, flexible work model that empowers you to do your best work in the environment that suits you. However, we also recognize the importance of in-person collaboration for key moments that truly matter. In our flexible remote approach, you have the freedom to choose a workspace within your home country that best fits your needs. Our corporate offices are located in New York City, Los Angeles, Costa Rica, and the Philippines, providing additional options for those who prefer or need a hybrid work environment. Our diverse global team spans the U.S., Canada, U.K., Costa Rica, the Philippines, and Australia. Please note that at this time, we are unable to hire employees located in Quebec or Ontario Provinces, Alaska, Hawaii, Puerto Rico, Louisiana, and Oklahoma. As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. We also provide reasonable accommodation for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. We are not accepting applications submitted through recruiting agencies.

🏢 Summary: Staff Data Analyst role focused on building and leading advanced analytics strategy to drive customer insights, predictive modeling, and AI-enabled decision-making. The position involves designing semantic data models, co-creating scalable data pipelines, and delivering high-impact dashboards and command center solutions. You will leverage cloud and big data technologies to enable data-driven strategy across cross-functional teams. 🗂️ Requirements: BS in Computer Science, MIS or related technical degree, 7+ years experience in Data Analyst, Data Engineer or BI Developer role, Advanced SQL proficiency, Experience building reports and dashboards in Tableau or similar tools, Experience with ETL processes and data pipeline development, Programming experience in Python and Java, Experience working with Databricks and Snowflake, Experience with predictive modeling and advanced analytics, Ability to design data models and semantic layers, Experience collaborating with Engineering on scalable data solutions 📃 Skills: SQL, Python, Java, Databricks, Snowflake, Tableau, ETL, AI, ML, NLP, BI, DataModeling, PredictiveModeling, Cloud, Telemetry 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Data & Insights Team Okta’s Enterprise Data & Insights team empowers data-driven decision making across the company by delivering trusted analytics, insights, and tools. We partner closely with teams such as Marketing, Sales, Finance, Product, and Customer First to unlock business value through data strategy, scalable solutions, and impactful storytelling. The Staff Data Analyst Opportunity We are looking for a Staff Data Analyst who has a passion for driving decisions and insights through data to join the Enterprise Data & Insights team. You will be successful if you are detail-oriented, analytical, like solving big problems, connecting dots, understanding business challenges and determining options to solve using data, and can effectively communicate with team members and business partners. In this role, you will be key in creating the foundation for data-based decision-making across Okta's functional business teams and will work with internal customers to identify ways to effectively leverage data using cutting edge cloud and big data technologies to drive business insights. What you’ll be doing Serve as the definitive SME for Customer First analytics, defining the data models, metrics, and value drivers that steer company strategy. Lead the exploration and integration of AI-driven tools to automate workflows and pioneer new methodologies for data discovery, including defining the foundational semantic models that power our AI agents. Architect the analytics strategy for customer insights, leveraging product telemetry and public data to identify and predict risk and growth signals. Own the vision for our semantic layer, ensuring it supports advanced modeling, self-service, and high-integrity dashboarding. Participate in high-impact initiatives in predictive modeling (cross-sell, churn, LTV) that directly influence GTM execution. Partner with leadership and account teams to translate raw insights into a high-impact, action oriented Command Center, empowering account teams to instantly prioritize and execute on the most urgent opportunities and risks. Partner with Engineering to co-design data pipelines and transformations that ensure long-term scalability and data quality. Set the bar for excellence in data storytelling and modeling, mentoring the broader team on best practices and process improvement. What you’ll bring to the role BS in CS, MIS, related technical degree 7+ years experience as a Data Analyst/Data Engineer/BI Developer Advanced SQL experience Excellent communication skills, both written and verbal, ability to work with all levels of the organization Provide thought leadership on the evolution of our analytics maturity, moving beyond traditional descriptive dashboards toward predictive, AI-enabled solutions that utilize NLP and deep analysis to drive proactive decision-making Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools Advanced analytics, data science, AI/ML experience and techniques are a plus Ability to work cross-functionally and communicate with technical and non-technical teams Experience with ETL processes, software development, and lifecycle awareness, using Python, Java, Databricks, and Snowflake Excellent time management and prioritization skills What you can look forward to as an Okta employee! Amazing Benefits Making Social Impact Fostering Diversity, Equity, Inclusion and Belonging at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. ir needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. #LI-HM2 #LI-Hybrid P24716_3407508The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $152,000—$190,000 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$136,000—$170,000 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

🏢 Summary: Senior Data Platform Engineer role focused on building and optimising a cloud-native lakehouse platform for large-scale analytics and reporting. The position involves designing distributed data pipelines, enabling self-service analytics, and implementing governance and observability frameworks using modern data technologies. You will work with Spark-based systems and integrated data warehousing solutions to deliver scalable, reliable data platforms. 🗂️ Requirements: Strong programming skills in Python, Strong programming skills in SQL, Hands-on experience with Apache Spark in production environments, Experience with Delta Lake and/or Apache Iceberg in production, Practical experience with dbt for data transformations, Experience with Databricks and Snowflake, Understanding of data governance and lineage in large-scale environments, Familiarity with Kubernetes and Docker, Experience with CI/CD and automated testing practices, Ability to participate in on-call rotations 📃 Skills: Python, SQL, Spark, Delta, Iceberg, dbt, Databricks, Snowflake, Kubernetes, Docker, CI/CD 🏢 Description: ABOUT THE COMPANY We are a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the platforms you build will have real consequence across the organisation. ABOUT THE ROLE We're building a specialised team focused on enabling advanced analytics and reporting capabilities across our internal data ecosystem. As a Senior Data Platform Engineer, you'll combine strong software engineering principles with deep data expertise to build robust, cloud-native platforms that process large-scale datasets efficiently and enable internal teams to build reporting and analytics on top of them. The role emphasises cloud-native architecture, lakehouse integration, data warehousing, and governance best practices. You'll work on systems using Apache Spark, Delta Lake, and Iceberg, and help deliver curated data models and self-service analytics capabilities to internal stakeholders. You'll also participate in on-call rotations as part of shared team responsibility. WHAT YOU'LL WORK ON Data pipeline and distributed systems Design and implement scalable data pipelines and distributed systems using Spark and Python to process and transform large-scale datasets for analytics and reporting. Lakehouse platform development Develop and maintain lakehouse capabilities with Delta Lake and Iceberg, ensuring data reliability, versioning, and performance optimisation at scale. Analytics workflow enablement Integrate dbt for SQL transformations running on Spark. Collaborate with internal teams to deliver curated datasets and self-service analytics capabilities for reporting and advanced use cases. Data warehousing optimisation Integrate and optimise Databricks and Snowflake for scalable storage and query performance. Drive performance tuning and cost optimisation across Spark jobs and cloud-native environments. Governance and observability Implement observability and governance frameworks including data lineage, quality checks, and compliance controls. Build platforms that allow secure and compliant access to diverse data sources. Engineering best practices Apply and champion clean code, modular design, CI/CD, automated testing, and code review standards across all data engineering work. On-call participation Participate in on-call rotations as part of shared team responsibility for platform reliability. WHAT WE LOOK FOR Python and SQL Strong programming skills in both Python and SQL, applied to production data platform work at scale. Apache Spark Solid hands-on experience with Spark for distributed data processing, including performance tuning in production environments. Lakehouse architecture Expertise in Delta Lake and/or Apache Iceberg. You've applied these in production and understand the trade-offs in real-world scenarios. dbt and analytics tooling Practical experience with dbt for transformation workflows. Familiarity with Databricks and Snowflake for large-scale analytics workloads. Data governance and compliance Understanding of data governance, lineage tracking, and compliance requirements in large-scale, multi-tenant data environments. Infrastructure and containerisation Familiarity with Kubernetes, Docker, and infrastructure-as-code tools in cloud-native environments. Software engineering fundamentals Solid understanding of software engineering principles — CI/CD, automated testing, clean code, and modular design applied to data systems. Bonus Exposure to event-driven architectures and advanced analytics platforms. Experience enabling self-service analytics for internal stakeholders. Experience in Java, Scala, or Rust. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 208,000 – 312,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements with a remote-first model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.

🏢 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: Full-time Data Analytics Engineer role focused on building and maintaining scalable data models and dashboards within a Snowflake and DBT environment to support US business operations. The position combines data modeling, analytics engineering, stakeholder collaboration, and operational data support, with an emphasis on data quality and modern AI-assisted tooling. It offers ownership of data infrastructure improvements and close collaboration with cross-functional teams. 🗂️ Requirements: Strong experience building and structuring datasets, Proficiency in SQL, Hands-on experience with DBT Core, Hands-on experience with Snowflake, Experience building Tableau dashboards, Ability to manage stakeholder requirements independently, High attention to data quality, Familiarity with AI-assisted data tools, Familiarity with Salesforce 📃 Skills: SQL, DBT, Snowflake, Tableau, Salesforce, GitHubCopilot, Cursor, AI, LLM 🏢 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 SumUp's 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. If you're someone who's been close to data in an analytical role and is ready to go deeper into how it's built and maintained, this is a meaningful next step. Take a look at our Boulder office 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 and DBT Core skills, hands-on experience with Snowflake and 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 SumUp Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Boulder office. This involves an office-first setup Enrollment onto our Virtual Stock Option program: you will own a stake in SumUp's future success A dedicated annual learning budget of $2,000 for your individual development, which can be used to attend conferences and/or advance your career through further education 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 Financial security: 401(k) retirement scheme with SumUp matching funds Break4me: 1-month sabbatical after 3 years of service Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced Compensation: $100,000–$120,000 base salary Virtual Stock Options Final compensation will be based on the candidate's experience and location About SumUp Be empowered to do more that matters. At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships. Our commitment to small businesses is reflected in our diverse team of over 4,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify. SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok.Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don't tick every box, it's ok too because it means you have room to learn and develop your career at SumUp.