Data Engineer (Multiple Levels)

Astrana Health is hiring Data Engineers at multiple levels to build and maintain trusted, high-quality data models and analytics products. The role develops scalable ELT pipelines, applies data quality measures, and supports healthcare operations analytics in collaboration with technical and clinical teams.

Responsibilities:

• Use data engineering best practices to produce high quality, maximally available data models which are intuitive to data analysts and trusted by stakeholders
• Develop deep domain knowledge in healthcare operations, tracking regulatory developments related to analytics products you maintain
• Apply quality measures and other metrics to datasets originating from internal and external clients
• Build scalable ELT pipelines and business intelligence dashboards as needed, embracing automation wherever possible
• Implement data quality checks which proactively identify data issues and distributional shifts to ensure accuracy of downstream analytical products

Requirements:

• Bachelor's degree required in healthcare, analytics, statistics, finance, business, or related field
• Experience with relational databases
• Strong understanding of database structures, theories, principles, and practices
• Working knowledge with programming or scripting languages such as Python, Spark, and SQL
• Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including documentation, coding standards, code reviews, source control management, build processes, testing, and operations
• Familiarity with normalized, dimensional, star schema and snowflake schematic models
• Strong written and oral communication skills
• Experience with Excel
• At least 2 years of experience working in the data and analytics landscape
• At least 2 years of experience using version control to manage code changes
• At least 1 year of using cloud-based services from AWS, GCP, or Azure
• Master's degree (MBA, MPH)
• Working experience with Databricks
• Familiarity with business intelligence exploratory or visualization tools (e.g., Tableau, PowerBI.)
• At least 2 years of experience in managed care or other healthcare data field