• Design and build robust data pipelines and feature stores that powers our AI products. • Analyse data requirements, understand complex data sources, and partner with architects to determine the best methods to extract, transform, and load data into data platform. • Lead conversations with business or functional teams to translate user requirements into reusable and cost-efficient data acquisition methodologies for AI products. • Be the key anchor for data extraction, preparation and hosting processes representing the AI team. Data expert for engineering datasets used by data scientists working on various use cases. • Perform functional and stress testing on data models and extraction jobs to ensure that design is optimized for performance, scale, and reusability. • Manage foundational data administration tasks such as scheduling jobs, troubleshooting job errors, identifying issues with job windows, assisting with database backups and performance tuning. • Ensure data quality throughout entire development process, including audits and feedback loops to sources of truth. • Create or update technical documentation for transition to support teams. • Mentor junior data engineers

• Architect and implement the full data foundation powering an internal LLM-driven analytics platform integrated directly with Amazon Seller Central. • Own ingestion, normalization, warehousing, semantic modeling, and query-ready access across commerce, advertising, operational, and financial datasets spanning multiple client brands. • Establish and manage authenticated SP-API connections across client brands. • Ingest data from Orders, Reports, Advertising, Inventory, and Financial endpoints. • Handle throttling, pagination, retries, and rate-limit constraints reliably. • Implement incremental loads, historical backfills, and failure recovery. • Continuously expand usable Amazon dataset coverage. • Design and implement scalable ELT/ETL pipelines from raw ingestion to analytics-ready schemas. • Stand up and operate a centralized warehouse (e.g., Snowflake, BigQuery, Redshift, Postgres, or equivalent). • Normalize multi-client, multi-brand datasets with historical retention and versioning. • Model core domains including sales, advertising performance, inventory/FBA, and profitability. • Ensure long-term maintainability, observability, and scale readiness. • Define standardized ecommerce metrics (sales, net revenue, ad spend, TACoS, and related drivers). • Create curated semantic or mart layers suitable for deterministic LLM querying. • Implement guardrails for filters, date logic, and metric definitions. • Ensure query outputs are reproducible, traceable, and grounded in source-of-truth tables. • Partner with founders on LLM model and architecture decisions. • Implement validation, anomaly detection, and freshness SLAs. • Maintain logging, alerting, and incident-response readiness across pipelines. • Ensure auditability and accuracy of analytics outputs. • Proactively resolve reliability risks and operational gaps. • Document API integrations, schemas, refresh cadences, and assumptions. • Produce clear handoff materials enabling internal continuity. • Prepare architecture for secure multi-tenant, external-facing product evolution. • Maintain a documentation-first, long-term ownership mindset. • Work directly with the client’s founders as the primary technical owner of the data platform, collaborating on architecture, LLM strategy, and product readiness. • Receive guidance from the Operations Manager to support delivery excellence, professional growth, and long-term success in the role.

- Own CRM data hygiene and maintain high-quality contact and account data. - Audit and optimise CRM properties, lifecycle stages, and deduplication processes. - Build and maintain scalable enrichment workflows in Clay. - Run enrichment waterfalls (email, phone, LinkedIn, firmographics). - Manage scraping workflows using Bright Data and Apollo exports. - Prepare outbound lists and ensure they are campaign-ready with low bounce rates. - Reduce duplicate and stale records across CRM and data sources. - Implement and manage email validation workflows. - Maintain reporting on list health, data completeness, and coverage metrics. - Document workflows and create repeatable, scalable processes. - Run light scripts or technical executions where needed.

Requisition Number: 2338897 For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions Required Qualifications: 7+ years of experience in data engineering, software engineering, or similar disciplines Hands-on experience with Databricks or Snowflake Experience with orchestration tools such as Apache Airflow Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable) Advanced SQL skills and experience with OLTP and OLAP data modeling Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns Familiarity with data governance tools, especially Microsoft Purview Solid programming expertise in Python, PySpark, or similar languages If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment United States Citizenship Preferred Qualifications: Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data Experience with containerization (Docker, Kubernetes) for data workloads Experience supporting machine learning workflows or analytical data science pipelines Knowledge of distributed computing concepts and performance tuning *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.