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# Data Engineer II

- **Company:** Garner Health
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $125,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Big Data, Databases, Data Validation, Information Engineering, Data Governance, Data Security, Data Warehousing, Distributed Computing Environment, Python (Programming Language), PostgreSQL, Query Optimization, SQL Databases, Workflow Management Systems, Snowflake, Event Driven Architecture, Data Inconsistencies, Data Pipelines, Sql Tuning
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/386976ca-96eb-42be-b244-ce3cfad2432f

## About the Role

* 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
 * 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

## Description

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.

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.

What you will do:

 * 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


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