Healthcare quality is declining and soaring costs are crushing American families and businesses.
Requirements
- Expertise in SQL, familiarity with Python
- Expertise in building scalable data pipelines, query optimization, PostgreSQL tuning (nice to have), data modeling, and defining reusable datasets
- Experience working with orchestration tools (especially Argo), databases (especially PostgreSQL), data warehouses (especially Snowflake)
- Familiarity with distributed event-driven architectures. NATS experience is a plus.
- Experience with a modern data stack and implementations of data pipelines using Python in AWS
- Experience with Postgres, Snowflake, AWS, NATS, Terraform, Argo, Stitch, DBT, ElasticSearch, Looker
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
- 5+ years of software/data engineering experience
- Able to learn quickly and mentor others
- Familiarity with healthcare or insurance
- Willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday
- Bachelor's degree or higher (not explicitly mentioned but implied)
- Flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more
