Astrana Health is seeking a Data Engineer II to produce high-quality data models and insights to drive strategy and innovation, improving patient outcomes and empowering providers, with over a million managed lives across the country and terabytes of data generated.
Requirements
- 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
- Working experience with Databricks preferred
- Familiarity with business intelligence exploratory or visualization tools (e.g., Tableau, PowerBI.) preferred
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
Other
- Bachelor's degree required in healthcare, analytics, statistics, finance, business, or related field; Master’s degree (MBA, MPH) preferred
- 2+ years of experience working in the data and analytics landscape
- 2+ years of experience using version control to manage code changes
- Strong written and oral communication skills
- Experience with Excel
