Data Engineer III

Garners mission is to transform the healthcare economy delivering high-quality and affordable care for all.

We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful data-driven insights. Our approach guides employees to higher-quality lower-cost care creating a system that works better for everyone. Patients achieve better health outcomes employers spend healthcare dollars more effectively and physicians are rewarded for delivering exceptional care rather than performing more procedures.

Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry and we are building a team of talented mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.

About the role:

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.

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

The ideal candidate has:

• 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

Technologies we use:

Postgres/SQL Snowflake Python AWS Terraform Argo Airflow Spark DuckDB Iceberg Airbyte DBT ElasticSearch (aka OpenSearch) OpenTelemetry Looker

This is a unique opportunity to join a fast-growing company in a transformative role helping shape the future of healthcare.

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $166000 - $205000. Individual compensation for this role will depend on various factors including qualifications skills and applicable addition to base compensation this role is eligible to participate in our equity incentive and competitive benefits plans including but not limited to: flexible PTO Medical/Dental/Vision plan options 401(k) with company match flexible spending accounts Teladoc Health and more.