Remote Senior Data Engineer

Summary

Join Garner's team as a Senior Data Engineer and contribute to transforming the healthcare economy by delivering high-quality and affordable care for all. The ideal candidate should have experience with a modern data stack, Python in AWS, and be able to build, optimize, and maintain data pipelines.

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
• Able to learn quickly and mentor others

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