Staff Data Engineer

Job Overview

Key Responsibilities

• Design, build, and maintain scalable ETL pipelines and data models to support our analytics and product needs.
• Develop robust data integration workflows, enabling seamless data exchange between internal systems and external data sources.
• Optimize and scale cloud-hosted databases and data infrastructure to handle complex healthcare datasets efficiently.
• Ensure data security and compliance with healthcare industry standards (e.g., HIPAA, HITRUST).
• Collaborate with product, engineering, and clinical teams to define and implement data requirements.
• Create documentation and implement monitoring solutions to ensure data reliability and transparency.

Required Qualifications

• 7+ years of experience as a data engineer or similar role, with at least several years of experience in health tech.
• Strong expertise in SQL and Python.
• Hands-on experience with modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift).
• Experience with data pipeline and workflow orchestration tools (e.g., Temporal, Airflow, Prefect, Dagster).
• Experience with cloud platforms such as AWS (preferred), GCP, or Azure.
• Solid understanding of data security principles and familiarity with healthcare data compliance requirements.
• Experience with AI software development tools (e.g., Claude Code, Cursor) and an AI forward mindset
• Demonstrated ability to work with messy, complex data and transform it into actionable insights.
• Strong communication skills and the ability to work effectively in cross-functional teams.

Preferred Experience

Nice to Have

• Experience with claims data sharing formats (e.g., 837, 834, CCLF) and modeling clinical quality measures (e.g., CQL).
• Experience working with the Tuva Project.
• Understanding of common clinical quality measure definitions and rules engine logic.

Chamber Values

Location

• Remote. Must be based in the United States and authorized to work without sponsorship.