Data Analytics Engineer II - Remote

Overview

Garner's mission is to transform the healthcare economy, delivering high quality and affordable care for all. By helping employers restructure their healthcare benefit to provide clear incentives and data-driven insights, we direct employees to higher quality and lower cost healthcare providers. The result is that patients get better health outcomes while doctors are rewarded for practicing well, not performing more procedures. We are backed by top-tier venture capital firms, are growing rapidly and looking to expand our team.

In Short

• 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

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 (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
• Authorized to work lawfully in the United States of America as Garner does not engage in immigration sponsorship at this time

Benefits

• You are mission-driven, have a high sense of ownership, and want to work at a company that can change the healthcare system
• You want to be on a small, fast-paced team that nimbly moves to meet new challenges
• You are not afraid of challenges and love to learn
• You design and optimize for the long term while moving fast and iteratively delivering for the short term
• You love ideating on new features and working with data to find new insights
• You’re excited about researching and working with the latest tools and technologies