Senior Data Analytics Engineer
Senior Data Analytics Engineer
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$ 165000 - 190000
1 Vacancy
Job Description
Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner weve developed a revolutionary approach to evaluating doctor performance and a unique incentive model thats reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs weve experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years becoming the fastest growing company in our space. To support our continued growth were expanding our team by over 50% each year seeking exceptional talent to shape our unique award winning culture (for example USA Today Top Workplaces 2025) designed to cultivate teamwork trust autonomy exceptional results and individual growth that creates an inflection point in your career.
About the role:
We are looking for a Senior Data Analytics 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. 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
What you will bring to the team:
- 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 Argo Dagster) databases (especially PostgreSQL) data warehouses (especially Snowflake)
- Expertise with SQL tuning medallion/event-driven architectures and telemetry.
- Familiarity with healthcare or insurance
Technologies we use:
Postgres/SQL Snowflake Python AWS Terraform Argo Airbyte DBT Dagster ElasticSearch (aka OpenSearch) Looker
Compensation Transparency:
The target salary range for this position is $165000 - $190000. 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) Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job please report it to law enforcement here and to .
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race religion color national origin sex (including pregnancy childbirth reproductive health decisions or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability genetic information political views or activity or other applicable legally protected characteristics.Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability you may contact us at .
Required Experience:
Senior IC
Employment Type
Full Time
