Garner Health-posted 2 days ago
$125,000 - $165,000/Yr
Full-time • Mid Level
Onsite • New York City, NY
101-250 employees

Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we’ve developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Data Engineer II 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. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

  • 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
  • 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
  • Expertise in SQL and Python
  • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
  • Experience working 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
  • Familiarity with data security and HIPPA compliance
  • Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
  • flexible PTO
  • Medical/Dental/Vision plan options
  • 401(k) with company match
  • flexible spending accounts
  • Teladoc Health and more
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