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Salary: USD 138,000 - 160,000 / annual
Garner Health is transforming the U.S. healthcare system by partnering with employers to redesign how healthcare works. The company applies 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors and steer members to higher-quality care. In five years, Garner has helped over 2.5 million people access better care and saved $1B in healthcare costs. The company recently raised Series E funding and has doubled five years running.
You will join the Engineering team as a Data Engineer II with high ownership of building and maintaining the data infrastructure that powers the business. This is a hybrid role based in the New York City office, requiring presence on-site Tuesday, Wednesday, and Thursday.
Key responsibilities include:
- Build, optimize, and maintain data pipelines that power business operations
- Define and build abstracted, reusable datasets for Business Intelligence, Marketing, and Data Science Research
- Design, build, and evangelize a federated data validation framework to monitor data inconsistencies
- Protect user privacy and security through best practices
The ideal candidate brings a modern data stack mindset with hands-on experience implementing data pipelines using Python and SQL in AWS. You should be excited about the mission, eager to learn and teach others, and capable of delivering across the tech stack.
Technologies used include: Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch/OpenSearch, OpenTelemetry, and Looker.
The company emphasizes a high-performing, mission-driven culture with intense urgency, individual accountability, and authentic feedback. You'll work on problems that matter at the intersection of AI and systemic healthcare reform.
REQUIREMENTS:
- 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, data quality)
- Expertise in SQL and Python
- Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
- Experience with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
- Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry
- Familiarity with healthcare or insurance (preferred)
- Familiarity with data security and HIPAA compliance (preferred)
- Desire to be part of a high-performing, mission-driven team
Note: The company is unable to sponsor or take over sponsorship of employment visas at this time.
