Garner Health
Data Engineer III
About this role
Garner seeks a Data Engineer III to build and optimize data pipelines supporting healthcare transformation across a 320M+ patient dataset. You'll design scalable data systems, create reusable datasets for BI and analytics teams, and establish data validation frameworks while ensuring privacy and security compliance.
What you'll do
- Build, optimize, and maintain data pipelines powering business operations
- Design and evangelize federated data validation framework for monitoring inconsistencies
- Define and construct reusable, abstracted datasets for BI, Marketing, and Data Science
- Ensure data security and HIPAA compliance across systems
- Implement query optimization and data modeling best practices
- Collaborate with cross-functional teams on data infrastructure scaling
What they're looking for
- Python and SQL expertise
- Apache Airflow orchestration
- Snowflake data warehousing
- PostgreSQL databases
- Data pipeline design and optimization
- HIPAA compliance and healthcare data security
- Medallion/event-driven architectures
- AWS cloud infrastructure
Benefits
- Flexible PTO
- Medical, Dental, and Vision plan options
- 401(k) with company match
- Flexible spending accounts
- Teladoc Health access
- Equity incentive participation
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Garner Health
Garner Health builds healthcare analytics systems that process medical data at scale using AI and distributed architectures. The company is hiring Software Engineers and Data Engineers to develop mission-critical infrastructure, data pipelines, and business intelligence solutions while maintaining privacy and security compliance.
- Website
- garnerhealth.com
Likely interview questions
- Describe your experience building and optimizing data pipelines at scale—what frameworks and tools did you use?
- How have you approached data quality monitoring and validation across distributed systems?