G
Garner Health
Data Engineer
Skills
SQL QueriesBig DataData EngineeringPythonData SciencePostgreSQLSnowflakeAWSApache AirflowCompliance
2 months ago
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Important information
Contract type:
Permanent
Salary:
$166,000 – $205,000 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- Build, optimize, and maintain data pipelines that power our business
- Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
- Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
- Protect our users’ privacy and security through best practices
Benefits
- Flexible PTO
- Garner for Garner (employees enrolled in a Garner medical plan gain access to the Garner benefit to find Top Providers and get reimbursed for eligible expenses)
- Hybrid and remote work
- Team meets twice each year to spark innovation and foster belonging
- Variety of social programs beyond work hours
- Equal paid parental leave (12 weeks) following the birth, adoption or placement of a child
- 401(k) plan with a 2% company match and immediate vesting
- Other financial benefits such as Flexible Spending Accounts and mortgage assistance- We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack
- The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS
- Familiarity with data security and HIPPA compliance
- Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry
- Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
- 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
- Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
- Familiarity with healthcare or insurance
- Expertise in SQL and Python
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
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