Staff Data Engineer

Chamber

. Design, build, and maintain scalable ETL pipelines and data models to support analytics and product needs .

Posted 10/7/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and maintaining scalable ETL pipelines and data models, with a strong focus on data security and compliance in the healthcare sector. Proficient in SQL, Python, and modern data warehousing technologies, ensuring effective collaboration across product, engineering, and clinical teams.

Highest-signal resume keywords

ETL Pipeline DevelopmentSQL ExpertisePython ProgrammingHealthcare Data ComplianceCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL Pipeline DevelopmentSQLPythonData Warehousing TechnologiesData Pipeline OrchestrationCloud PlatformsData Security PrinciplesAI Software Development ToolsData Integration WorkflowsData Modeling

Soft Skills

Strong Communication SkillsCross-Functional Collaboration

Tools & Technologies

SnowflakeBigQueryRedshiftTemporalAirflowPrefectDagsterAWSGCPAzure

Industry Keywords

HealthcareHIPAAHITRUSTData ComplianceHealth Tech

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable ETL pipelines and data models to support 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 for complex healthcare datasets
Ensure data security and compliance with healthcare industry standards such as HIPAA and 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

Requirements

What you’ll need

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