Healthcare quality is declining and soaring costs are crushing American families and businesses, Garner is looking to solve this problem by evaluating doctor performance and reshaping the healthcare economy
Requirements
- 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 data security and HIPPA compliance
Responsibilities
- 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
Other
- Must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday
- We are unable to sponsor or take over sponsorship of an employment visa at this time
- Bachelor's degree not explicitly mentioned but implied
- Travel requirements not mentioned
- Equal Employment Opportunity employer and values diversity in the workplace
