Lead Analytics Engineer - Data Modeling & Quality

Arcadia is seeking a Lead Analytics Engineer - Data Modeling & Quality to transform complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.

Requirements

• Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases
• dbt: hands-on experience authoring models, tests, macros, and yml documentation; familiarity with incremental strategies
• Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns)
• Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly

Benefits

• Flexible, fully remote work environment with the resources and support to do your best work
• Exposure to senior leaders
• Be on the front lines of AI adoption — use cutting-edge tools to accelerate your work and shape how the team operates in an AI-first environment
• Make a meaningful impact on healthcare data operations by improving the quality, reliability, and trustworthiness of data that drives patient care decisions
• Be a part of a mission-driven company that is transforming the healthcare industry
• Become a member of the talented, energized, diverse, and purpose-driven Arcadian Community

Originally posted on Himalayas