Remote Data Engineer needed at Garner Health

Job title: Data Engineer

Job type: Remote, US National

Hiring company: Garner Health

Salary: $160,000 – $200,000 Annually

We also recommended: Remote Senior Project Manager 

Job description

We are looking for a Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python in AWS.

Where you will work:

This is a hybrid role and will require up to 3 days in Garner’s New York City office.

Key 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

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 Python, familiarity with SQL
• 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

See more jobs here