Astrana HealthRemote
Manager – Data Engineering
California, United States of America
Full Time
3 hours ago
$140,000 - $160,000 USD
No Visa Sponsorship
Key skills
AWSAzureCloudETLPythonSDLCSparkSQLELTData EngineeringData WarehousingAnalyticsBIBusiness IntelligencePower BISnowflakeDatabricksVersion ControlSource ControlCI/CDLeadershipStakeholder ManagementStrategic PlanningCommunication
About this role
Role Overview
- 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.
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- Python
- SDLC
- Spark
- SQL
Benefits
- This position is remotely based in the U.S.
- The total compensation target pay range for this role is: $140,000
- $160,000.