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

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
2+ years of experience in managed care or other healthcare data field preferred
1+ years’ using cloud-based services from AWS, GCP, or Azure
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
Strong written and oral communication skills.
Experience with Excel.

This position is remotely based in the U.S.
The total compensation target pay range for this role is: $105,000
$200,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.
Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at humanresourcesdept@astranahealth.com to request an accommodation.

Data Engineer – Multiple Levels

Key skills