Senior Data Engineer
AI summary of the role
Senior Data Engineer at Garner Health, reporting to VP Engineering, to build and optimize data pipelines powering a healthcare benefits platform that uses clinical analytics to steer members to high-quality, lower-cost care.
What you’ll do
- Build, optimize, and maintain data pipelines that power our business
- Define and build out abstracted reusable data sets for Business Intelligence, Marketing, and Data Science Research
- Design, build, and evangelize a federated data validation framework to monitor potential data inconsistencies
- Protect users' privacy and security through best practices
What you’ll bring
- 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, data quality)
- Expertise in SQL and demonstrated strength with Python
- Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
- Experience with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake)
Technologies
Python · SQL · AWS · Airflow · PostgreSQL · Iceberg · Snowflake · Spark · Terraform · Argo · DuckDB · Airbyte
About Garner Health
Healthcare benefits platform for self-insured employers that uses provider-quality analytics and member financial incentives to steer employees to higher-quality, lower-cost doctors.
Series D · 200–500 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. 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
More from the job description
What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. 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 [... source excerpt omitted ...] WS. 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 [... source excerpt omitted ...] 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. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted
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