Data Engineer
Posted 7 Oct 2026
Advertised as “Staff Data Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
- Visa sponsorship
- Not offered
No salary listed for this role.
About Chamber:
Cardiovascular disease remains the leading cause of death in America. At Chamber, we are rebuilding the system for cardiology, creating a world where outcomes, not volume, define success. We partner with independent cardiologists to help them lead population health efforts in their communities, equipping them with technology, data, and operational tools that turn complex insights into better care for patients.
Our model blends clinical expertise, thoughtful design, and a modern operating platform that supports physicians, patients, and payers alike. We believe innovation and empathy go hand in hand, and by combining cutting-edge AI tools with a relentless focus on human care, we can transform heart health at scale.
Job Overview:
We are seeking a Staff-level Data Engineer who is passionate about creating scalable, secure, and efficient data systems. You will play a pivotal role in designing and implementing the data architecture that powers our core products, which provide actionable insights to cardiologists, care teams, and patients. The ideal candidate combines deep technical expertise with an eagerness to collaborate and innovate within a fast-paced, early-stage health tech environment.
Key Responsibilities:
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Design, build, and maintain scalable ETL pipelines and data models to support our analytics and product needs.
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Develop robust data integration workflows, enabling seamless data exchange between internal systems and external data sources.
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Optimize and scale cloud-hosted databases and data infrastructure to handle complex healthcare datasets efficiently.
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Ensure data security and compliance with healthcare industry standards (e.g., HIPAA, HITRUST).
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Collaborate with product, engineering, and clinical teams to define and implement data requirements.
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Create documentation and implement monitoring solutions to ensure data reliability and transparency.
Required Qualifications:
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7+ years of experience as a data engineer or similar role, with at least several years of experience in health tech.
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Strong expertise in SQL and Python.
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Hands-on experience with modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift).
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Experience with data pipeline and workflow orchestration tools (e.g., Temporal, Airflow, Prefect, Dagster).