Senior Data Engineer

About the role:

We are seeking an exceptional Senior Data Engineer 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. This role will report to our VP, Engineering. 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 frameworks to be used to monitor potential data inconsistencies
• Protect our users’ privacy and security through best practices

The ideal candidate has:

• 4+ 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, job experience, and demonstrated strength with 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), datalakes (especially Iceberg), data warehouses (especially Snowflake)
• Expertise with SQL tuning, Spark development, medallion and event-driven architectures.
• Familiarity with healthcare or insurance
• Familiarity with data security and HIPAA 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

What you’ll get here:

You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.

At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.

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.

Compensation Transparency:

The target salary range for this position is $220,000.00 - $245,000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In 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.