Manager – Data Engineering

Astrana Health

Manager leading data engineering team at Astrana Health. Designing and implementing data solutions for healthcare operations with a focus on quality and innovation.

Posted 6/2/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSDLCSparkSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Bachelor’s degree required in computer science, engineering, healthcare, analytics, or a related field; Master’s degree preferred.
5+ years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity.
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.
Experience working with Databricks or similar distributed computing platforms preferred.
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.

Benefits

Comp & perks

This position is remotely based in the U.S.
The total compensation target pay range for this role is: $140,000 - $160,000.

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Hard Skills & Tools

data engineeringELTETLSQLPythonSparkdata modelingdata warehousingautomated testingcloud-based services

Soft Skills

leadershipmentoringcommunicationstakeholder managementproblem-solvinginnovationcollaborationcontinuous learningoperational excellencestrategic planning

Certifications

Bachelor’s degreeMaster’s degree