Healthcare Data Engineer (Remote) - Real-Time Analytics

Daymark Health

Philadelphia (Philadelphia County)

On-site

USD 140,000 - 160,000

Full time

13 days ago

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Job summary

Daymark Health is transforming cancer care by leveraging data to inform clinical and financial decisions. We seek a Data Engineer to build scalable data pipelines and governance across Snowflake, AWS, and dbt, handling claims, EMR, and provider data to improve patient outcomes and payer collaboration.

You will partner with Finance, Clinical leaders, and external teams to drive data initiatives and real-time analytics, while ensuring data integrity and regulatory compliance.

Qualifications

  • 4+ years of data engineering experience with cloud platforms.
  • Healthcare data experience (claims, EMR, patient data) is highly desired.
  • Ability to design scalable data pipelines and governance practices.

Responsibilities

  • Build scalable data pipelines and governance to ensure data integrity.
  • Deploy tooling (Snowflake, AWS, dbt) to support analytics and reporting.
  • Translate data into insights for care delivery and payer collaboration.
  • Collaborate with Product, Engineering, Clinical, and external teams.
  • Develop real-time analytics capabilities and monitor key metrics.
  • Integrate analytics into production systems and workflows.
  • Provide ongoing insights from partner/provider data to improve outcomes.
  • Align data infrastructure with strategic priorities and innovation.

Skills

Cloud data engineering
Cross-functional communication
Strategic problem solving

Tools

Snowflake
AWS
dbt

Job description

Daymark Health is transforming cancer care by leveraging data to inform clinical and financial decisions. We seek a Data Engineer to build scalable data pipelines and governance across Snowflake, AWS, and dbt, handling claims, EMR, and provider data to improve patient outcomes and payer collaboration.

You will partner with Finance, Clinical leaders, and external teams to drive data initiatives and real-time analytics, while ensuring data integrity and regulatory compliance.

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