Senior Data Engineer

About the role

The role is a senior analytics/data engineering position responsible for designing AI‑powered solutions, architecting and optimizing large‑scale ETL pipelines, building executive dashboards, and leading technical coordination across onshore‑offshore teams within a global delivery model, all while working remotely from anywhere in the U.S.

About the company

Optum, a global division of UnitedHealth Group, delivers care and health optimization through technology, aiming to help millions live healthier lives while fostering an inclusive, collaborative culture focused on equity and environmental responsibility.

Requirements

• Bachelor’s degree or equivalent experience
• 6+ years experience in analytics engineering, business intelligence, or data engineering delivering enterprise‑scale solutions
• 5+ years cloud experience (Azure, Google Cloud Platform, AWS, or OCI)
• 5+ years programming experience in Python, Java, or similar languages
• 4+ years hands‑on experience with Databricks (Spark, SQL, Python) or major ETL platforms building large‑scale pipelines
• 4+ years experience in data modeling (star schemas, semantic modeling, incremental loads) and advanced SQL
• 1+ year experience delivering AI‑driven analytics or data solutions
• Preferred: Healthcare industry experience, especially clinical or real‑time analytics
• Preferred: Experience with ETL orchestration tools (Airflow, Azure Data Factory) and data lineage governance
• Preferred: Experience developing AI‑driven automations or integrating large language models into data products and ETL workflows
• Preferred: Proficiency with Power BI, Tableau or similar visualization tools, including advanced DAX, Power Query, and semantic modeling
• Preferred: Demonstrated success working in global delivery models with onshore‑offshore collaboration
• Preferred: Proven ability to solve complex technical problems focusing on data processing efficiency and system scalability