Data Engineer III

Garner Health•New York City, NY

1d•Hybrid

About The Position

We are seeking an exceptional Data Engineer III 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. This role will be on-site in our New York City office, requiring 3 days per week in the office on Tuesdays, Wednesdays, and Thursdays. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Requirements

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

Responsibilities

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