Data Engineer (Multiple Levels)

Astrana Health, Inc. • Alhambra, CA

23h • $105,000 - $200,000 • Remote

About The Position

We are currently seeking highly motivated Data Engineers at various levels. This role will report to the Director - Data Engineering and work closely with data analysts, data engineers, data scientists, and clinical leaders to produce deliverables for internal and external clients. With over a million managed lives across the country and terabytes of data generated, our teams need to be continuously equipped with the tools and insights to drive strategy and innovation to further our core values of improving patient outcomes and empowering our providers.

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.

Nice To Haves

• Master’s degree (MBA, MPH) preferred.
• Working experience with Databricks preferred
• Familiarity with business intelligence exploratory or visualization tools (e.g., Tableau, PowerBI.) preferred
• 2+ years of experience working in the data and analytics landscape
• 2+ years of experience using version control to manage code changes
• 2+ years of experience in managed care or other healthcare data field preferred
• 1+ years’ using cloud-based services from AWS, GCP, or Azure

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level