Senior Data Engineer, Garner Health

• 5+ 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, 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
• Familiarity with healthcare or insurance
• Able to learn quickly and mentor others

• We are looking for a 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
• 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
• Our Tools: Postgres, Snowflake, Python, AWS, NATS, Terraform, Argo, Stitch, DBT, ElasticSearch, Looker

Total funding: $61.3m

An overworked US healthcare system has resulted in long waits and expensive prices. Due to rising costs, the health insurance industry often leads to patients not accessing the care that they need. Garner Health creates digital services that allow patients to find a medical expert that fits their specific needs, whatever their insurance circumstances are.