Senior Data Engineer

Summary

Join Garner's mission to transform healthcare by joining our team as a Senior Data Engineer. We're a rapidly growing company backed by top-tier venture capital firms, focused on improving healthcare quality and affordability. This on-site NYC position requires building and optimizing data pipelines, creating reusable datasets, and designing a data validation framework. The ideal candidate possesses extensive experience in data engineering, expertise in SQL and Python, and familiarity with AWS and various data tools. We offer a competitive salary, equity incentives, and comprehensive benefits.

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, data modeling, and defining reusable datasets
• Experience working with orchestration tools (especially Argo), databases (especially PostgreSQL), data warehouses (especially Snowflake)
• 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

Preferred Qualifications

• PostgreSQL tuning
• Familiarity with distributed event-driven architectures. NATS experience is a plus
• Familiarity with healthcare or insurance

Benefits

• Equity incentive
• Competitive benefits plans