Data Analytics Engineer II

Summary

Join Garner, a rapidly growing healthcare company revolutionizing the industry, as a Data Analytics Engineer II. This fully remote position offers the opportunity to build, optimize, and maintain data pipelines, define reusable datasets, and design a data validation framework. You will leverage your expertise in SQL, Python, and AWS to contribute to a modern data stack. The ideal candidate possesses 2+ years of software/data engineering experience and expertise in building scalable data pipelines. Garner provides a competitive salary ($130,000-$150,000 annually), equity incentives, and comprehensive benefits.

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)
• 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

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

Benefits

• Flexible PTO
• Medical/Dental/Vision plan options
• 401(k)
• Teladoc Health and more