Data Engineer II

Garner Health•New York City, NY

7d•Hybrid

About The Position

Garner is seeking a Data Engineer II to join its Engineering team. The role focuses on building and maintaining data infrastructure that supports Garner’s healthcare mission. The successful candidate will bring ownership, a willingness to learn and teach others, and the ability to deliver across the technology stack. The position is based in Garner’s New York City office and requires working onsite three days per week, Tuesday through Thursday. The Data Engineer II will develop and optimize data pipelines, create reusable datasets for Business Intelligence, Marketing, and Data Science Research, and build a federated data validation framework to identify potential inconsistencies. The role also includes protecting user privacy and security through best practices. The team uses a modern data stack that includes Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (OpenSearch), OpenTelemetry, and Looker. Garner describes the work as demanding, with significant ownership and autonomy, and offers consistent coaching to support professional growth. The target salary range is $138,000–$160,000, and the position is eligible for equity incentives and benefits. Garner is unable to sponsor or take over sponsorship of an employment visa at this time.

Requirements

At least 2 years of software or data engineering experience, including experience with 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 with orchestration tools, particularly Airflow; databases, particularly PostgreSQL; and data warehouses, particularly Snowflake.
Familiarity with SQL tuning, medallion and event-driven architectures, and telemetry.
Willingness to work in the New York City office three days per week, Tuesday through Thursday.
A desire to contribute to a high-performing, mission-driven team characterized by urgency, individual accountability, and authentic feedback.

Nice To Haves

Familiarity with healthcare or insurance.
Familiarity with data security and HIPAA compliance.

Responsibilities

Build, optimize, and maintain data pipelines that power the business.
Define and build reusable, abstracted datasets for Business Intelligence, Marketing, and Data Science Research.
Design, build, and promote a federated data validation framework to monitor potential data inconsistencies.
Protect users’ privacy and security through best practices.