Senior Data Engineer

📋 Description

• Drive healthcare data initiatives to inform client and internal decisions
• Own design, development, and iteration of complex data systems
• Perform exploratory analysis to surface insights guiding decisions
• Leverage AI/LLM tools to accelerate data transformation and iteration
• Develop and evolve well-modeled datasets and metrics
• Design data quality checks, monitoring, and observability

🎯 Requirements

• 4+ years building data systems, including data pipelines, transformations, and analytical datasets
• Strong experience designing, building, and operating end-to-end data workflows—from raw data ingestion through transformation, modeling, and downstream analysis
• Proven ability to work with complex, messy, and evolving data sources and turn them into reliable, well-modeled datasets
• Experience performing exploratory and hypothesis-driven analysis to inform product, operational, or client-facing decisions
• Strong judgment around data quality, correctness, observability, and maintainability in production data systems
• Strong proficiency in Python and SQL for data transformation, analysis, and pipeline development

🎁 Benefits

• Remote/hybrid environment
• Potential equity compensation for outstanding performance
• Flexible PTO
• Company-wide sponsored lunches
• Company paid disability and life insurance benefits
• Medical, dental, and vision insurance benefits