Data Engineer

Garner Health

New York, United States Posted October 18, 2026

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Remote Full-time Mid level
Salary Range

$138,000 - $160,000

Job Description

Join our team as a Data Engineer, where you will build, optimize, and maintain data pipelines that drive our business. You will define and create reusable data sets for Business Intelligence, Marketing, and Data Science Research. Additionally, you will design and implement a federated data validation framework to monitor data inconsistencies, while ensuring user privacy and security. Enjoy flexible PTO, hybrid and remote work options, and a variety of social programs.

  • Construire, optimiser et maintenir des pipelines de données qui alimentent l'entreprise.
  • Définir et construire des ensembles de données abstraits et réutilisables pour l'intelligence d'affaires, le marketing et la recherche en science des données.
  • Concevoir, construire et promouvoir un cadre de validation des données fédéré pour surveiller les incohérences potentielles des données.
  • Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
  • 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
  • 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
  • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
  • 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
  • Expertise in SQL and Python
  • Familiarity with healthcare or insurance
  • Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry
Required Skills
data engineering data science Airflow PostgreSQL Snowflake data privacy compliance data architecture SQL Python
How to apply

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