Note: The job is a remote job and is open to candidates in USA. Astrana Health is a physician-centric, technology-powered healthcare management company seeking a highly motivated Manager - Data Engineering to join their growing team. This role will lead a team of data engineers to design and implement robust data pipelines and platforms that support internal and external clients, ultimately improving 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
• 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
• Familiarity with BI tools such Power BI

Benefits

• Fully remote
• Equal Employment Opportunity and Affirmative Action employer
• Accommodation for applicants with disabilities upon request

Company Overview

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