Staff Data Engineer

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senior

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ChamberCardio Staff Data Engineer role focused on designing and implementing scalable, secure data systems for healthcare analytics. Responsible for building ETL pipelines and optimizing cloud-hosted databases to support cardiology-focused products.

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.

Qualification

Strong expertise in SQL and PythonDemonstrated ability to work with messyExperience with lightweightOur values guide how we leadLow Ego

Required

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 with DBT for data transformation and modeling.
Experience with lightweight, cloud-hosted secure data transfer solutions such as SFTPGo.
Experience with healthcare interoperability standards such as FHIR and HL7 event formats.
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.
Our values guide how we lead, collaborate, and care:
Low Ego: We stay grounded, curious, and open to feedback.

Company

ChamberCardio

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Source: ashby

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Remote-friendly

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