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Chamber Cardio is rebuilding the system for cardiology by partnering with independent cardiologists to lead population health efforts in their communities. The company provides technology, data, and operational tools that deliver actionable insights to physicians, patients, and payers, combining clinical expertise with modern AI and thoughtful design.
As a Staff Data Engineer, you will design and implement the data architecture powering Chamber's core products. This is a pivotal technical role in an early-stage healthtech company where you'll work on scalable, secure data systems that directly impact cardiology care delivery.
Key responsibilities include:
- Design, build, and maintain scalable ETL pipelines and data models supporting analytics and product needs
- Develop robust data integration workflows enabling seamless exchange between internal systems and external data sources
- Optimize and scale cloud-hosted databases and data infrastructure for complex healthcare datasets
- Ensure data security and compliance with healthcare standards (HIPAA, HITRUST)
- Collaborate with product, engineering, and clinical teams to define and implement data requirements
- Create documentation and implement monitoring solutions for data reliability and transparency
The ideal candidate combines deep technical expertise with a collaborative mindset and passion for healthcare innovation. You'll work in a fast-paced environment where outcomes-focused thinking and empathy are core values.
REQUIREMENTS:
- 7+ years of experience as a data engineer or similar role, with several years in health tech
- Strong expertise in SQL and Python
- Hands-on experience with modern data warehousing technologies (Snowflake, BigQuery, Redshift)
- Experience with data pipeline and workflow orchestration tools (Temporal, Airflow, Prefect, Dagster)
- Experience with cloud platforms (AWS preferred, GCP, or Azure)
- Solid understanding of data security principles and familiarity with healthcare data compliance requirements
- Experience with AI software development tools (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 ability to work effectively in cross-functional teams
PREFERRED:
- Experience with DBT for data transformation and modeling
- Experience with lightweight, cloud-hosted secure data transfer solutions (SFTPGo)
- Experience with healthcare interoperability standards (FHIR, HL7 event formats)
NICE TO HAVE:
- Experience with claims data sharing formats (837, 834, CCLF) and modeling clinical quality measures (CQL)
- Experience working with the Tuva Project
- Understanding of common clinical quality measure definitions and rules engine logic
Must be based in the United States and authorized to work without sponsorship.
