Manager – Data Engineering

🕒 June 3

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Astrana Health

1001 - 5000 employees

☁️ SaaS

🤝 B2B

👥 B2C

SaaS • B2B • B2C

Astrana Health is a healthcare company that operates community-focused clinics and a provider-facing technology platform to coordinate care across primary, urgent, and multi-specialty services. It supports providers and local communities by streamlining access to care, automating prior authorizations, and connecting patients with in-network clinicians. Astrana combines clinical services with doctor-built technology to improve patient experience and provider workflows.

📋 Description

• 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

• 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

• 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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