Manager - Data Engineering
Remote Alhambra Full-time Manager Data Engineering
At a glance
Manager-level Data Engineering role at Astrana Health, Inc. Remote, United States · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Estimated pay
Astrana Health, Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
$112,500 – $160,000
What the middle half of mid-level data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 386 postings that stated pay, median $134,547. Last updated Oct 24, 2026.
RoleData Engineering
SeniorityManager
LocationAlhambra
WorkplaceRemote
EmploymentFull-time
PostedJun 3, 2026 · 4mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Lead and mentor data engineers, supporting their growth and maintaining strong engineering practices
- Build data pipelines and models with analysts, scientists, technology teams and business leaders to meet business needs
- Oversee ELT workflows, data marts and business intelligence assets from development through ongoing maintenance
- Maintain data quality systems by monitoring, investigating and resolving issues before they spread
- Guide healthcare data work to meet security and regulatory needs, while improving automation and delivery
What you bring
- A relevant bachelor’s degree, such as in computer science, engineering or healthcare
- At least five years in data engineering or software development, including two years leading or managing people
- At least two years working with medical claims in healthcare or managed care
- Strong SQL and programming skills, with experience building scalable ELT or ETL pipelines on cloud data platforms
Who this fits
This manager role suits someone who leads and develops data engineers while staying involved in technical decisions and delivery. You’ll work with analysts, data scientists, technology teams and business leaders, and report to the Director of Data Engineering.
From the employer
We are seeking a highly motivated Manager - Data Engineering to join our growing team. This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal candidate is a strong technical leader with a passion for mentoring others and delivering scalable, high-quality data solutions. You will collaborate closely with data analysts, data scientists, technology teams, and business leaders to design and implement robust data pipelines and platforms that support internal and external clients. With over a million managed lives across the country and terabytes of healthcare data generated, your leadership will be critical to empowering our organization with the tools and insights needed to drive innovation and improve patient outcomes.
Our Values:
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.
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