Data Engineer

• 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
• 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
• 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, Elastic Search (aka Open Search), Open Telemetry, Looker
• This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare

• Flexible PTO
• Garner for Garner (employees enrolled in a Garner medical plan gain access to the Garner benefit to find Top Providers and get reimbursed for eligible expenses)
• Hybrid and remote work
• Team meets twice each year to spark innovation and foster belonging
• Variety of social programs beyond work hours
• Equal paid parental leave (12 weeks) following the birth, adoption or placement of a child
• 401(k) plan with a 2% company match and immediate vesting
• Other financial benefits such as Flexible Spending Accounts and mortgage assistance

The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWSExpertise in SQL and Python2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
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

Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets

Familiarity with healthcare or insurance

Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry

Familiarity with data security and HIPPA compliance