Senior Data Engineer (Analytics)

Summary

Join our team at Garner Health, a mission-driven company transforming the healthcare economy. We're seeking a Senior Data Engineer with experience in modern data stacks and Python implementations in AWS.

Requirements

• 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

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

Benefits

Competitive benefits plans