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Data Engineer

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Onsite

Data Engineer

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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