Manager - Data Engineering
✨ AI Summary
Astrana Health, a healthcare company managing over a million lives with terabytes of data, is hiring a Manager - Data Engineering to lead and mentor a team. Tech stack includes AWS/Azure, Databricks, SQL, Python/Spark, and Power BI. Requires 5+ years in data engineering with 2+ years in leadership, plus 2+ years of medical claims experience. Remote U.S.-based role with a salary range of $140,000-$160,000.
Our Values:
- Put Patients First
- Empower Entrepreneurial Provider and Care Teams
- Operate with Integrity & Excellence
- Be Innovative
- Work As One Team
- 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.
- Bachelor’s degree required in computer science, engineering, healthcare, analytics, or a related field; Master’s degree preferred.
- 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.
- 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.
- Thrive in a fast-paced environment and enjoy leading teams to solve complex data challenges.
- Are passionate about mentoring and growing the next generation of data engineering talent.
- Have a bias for action and a commitment to delivering high-quality solutions with measurable impact.
- Bring a collaborative, team-first mindset to everything you do.
- This position is remotely based in the U.S.
- The total compensation target pay range for this role is: $140,000 - $160,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.
About the Company
At Astrana, we’re united in our vision to fix the broken U.S. healthcare system by making healthcare more affordable for all Americans and improving patient outcomes. We put physician needs first so doctors can better care for patients. If you have a passion for integrated, values-driven healthcare, consider joining the team.
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