Astrana Health
Posted 142 days agoVerified live 8h ago
Data Engineer (Multiple Levels)
Brief overview
United StatesIn-person
UndergradOr in progress
$105k–$200k/yrStated range
2+ yrsMinimum
21 H-1B approvalsDept. of Labor
3 green cardsCertified filings
PythonSparkSQLRelational databasesDatabase structuresSDLC best practicesVersion controlExcelELT pipelinesAutomationData quality checksBusiness intelligence dashboards
About the company
Astrana Healthastranahealth.com
Leading physician-centric, technology-powered, risk-bearing healthcare mgmt. company delivering high quality care in a cost-effective manner
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.21H-1B approved
100%approval rate
7new H-1B hires
3PERM certified
$125,441median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20237
20246
20256
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20232
20242
20253
20261
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20241
20252
Top sponsored roles
ETL DEVELOPER (II)Lead Architect - Data PlatformSenior AnalystSUPERVISOR - EDISenior Software Engineer
Sponsored employees from
China
Job description
Summary
Astrana Health is seeking highly motivated Data Engineers at various levels to join their Data - Analytics department. The role involves collaborating with data analysts, engineers, and clinical leaders to produce deliverables that enhance patient outcomes and empower providers.
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
Skills
- 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
- 2+ years of experience working in the data and analytics landscape
- 2+ years of experience using version control to manage code changes
- Master's degree (MBA, MPH)
- Working experience with Databricks
- Familiarity with business intelligence exploratory or visualization tools (e.g., Tableau, PowerBI)
- 2+ years of experience in managed care or other healthcare data field
- 1+ years' using cloud-based services from AWS, GCP, or Azure
Qualifications
Must Haves
- 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
- 2+ years of experience working in the data and analytics landscape
- 2+ years of experience using version control to manage code changes
Nice to Haves
- Master's degree (MBA, MPH)
- Working experience with Databricks
- Familiarity with business intelligence exploratory or visualization tools (e.g., Tableau, PowerBI)
- 2+ years of experience in managed care or other healthcare data field
- 1+ years' using cloud-based services from AWS, GCP, or Azure
