[Remote] Manager - Data Engineering

Note: The job is a remote job and is open to candidates in USA. Astrana Health is hiring a Manager - Data Engineering to lead its data engineering team and deliver scalable data solutions supporting healthcare operations. The role oversees data pipelines, data platforms, data quality, and engineering practices while collaborating with cross-functional teams to support business needs and improve patient outcomes.

Responsibilities

• Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence
• Partner with cross-functional teams to design and implement scalable data pipelines and models aligned with business needs and industry best practices
• Oversee the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets
• Own and evolve data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues
• Champion the adoption of automation and modern data engineering practices, driving efficiencies in pipeline management and data delivery
• Guide your team in building domain knowledge around healthcare operations, ensuring data solutions comply with regulatory and security requirements
• Contribute to strategic planning for the data engineering function, including resource allocation, technology selection, and process improvement initiatives
• Support and enforce software development best practices, including code reviews, source control, CI/CD, and testing

Skills

• Bachelor's degree required in computer science, engineering, healthcare, analytics, or a related field
• At least 5 years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity
• At least 2 years of experience with medical claims in healthcare and/or managed care
• Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure)
• Advanced proficiency with SQL and scripting/programming languages such as Python or Spark
• Solid understanding of database structures, data modeling (normalized, star schema, snowflake), and data warehousing concepts
• Familiarity with BI tools such Power BI
• Deep understanding of professional software engineering practices including SDLC, version control, CI/CD, and automated testing
• Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences
• Master's degree preferred
• Experience working with Databricks or similar distributed computing platforms preferred

Benefits

• Fully remote; this position is remotely based in the U.S.

Company Overview

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