Data Analytics Engineer II

Summary

Join Garner's growing team as a Data Analytics Engineer II and contribute to transforming the healthcare economy. You will build, optimize, and maintain data pipelines, create reusable datasets, and design a data validation framework. This role requires experience with a modern data stack, including AWS and Python, and expertise in SQL and data pipeline development. The ideal candidate will possess strong problem-solving skills, a collaborative spirit, and a passion for innovation within the healthcare industry. Garner offers a competitive salary, equity incentives, and comprehensive benefits. We are looking for a mission-driven individual who thrives in a fast-paced environment and is eager to learn and grow.

Requirements

• 2+ 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, data modeling, and defining reusable datasets
• Experience working with orchestration tools (especially Argo), databases (especially PostgreSQL), data warehouses (especially Snowflake)
• Authorized to work lawfully in the United States of America as Garner does not engage in immigration sponsorship at this time

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

• Familiarity with distributed event-driven architectures. NATS experience is a plus
• Familiarity with healthcare or insurance
• Able to learn quickly and mentor others

Benefits

• Equity incentive
• Competitive benefits plans