Data Engineer | 100% Remote

Location/Schedule: 100% remote, Central Time (CST) business hours
Type: Contract, 2 openings
9 Month Contract to hire
Overview
We're seeking two self-driven Senior Data Engineers to migrate legacy ABS data into the Facets claims system as part of a larger platform sunset initiative. You'll build scalable ETL pipelines in Python, AWS Glue, and PySpark, sourcing data from a Neo4j graph database. You'll also use AI-assisted development tools to ship quality code to production. This role suits an engineer who works independently with minimal oversight and does well on a collaborative team with strong engineering practices.
Responsibilities
Design and develop ETL pipelines using AWS Glue, Python, and PySpark.
Build scalable, efficient data extraction and transformation solutions sourcing from a Neo4j graph database.
Migrate legacy data into the Facets claims platform in support of a system sunset.
Use AI-assisted development tools to deliver production-quality code. This is a key performance measure.
Troubleshoot and resolve pipeline and data issues independently.
Required Qualifications
Bachelor's degree
6+ years of data engineering experience (hard disqualifier below 4 years; see Flag 1)
Strong Python
Hands-on AWS Glue
Hands-on PySpark
Preferred Qualifications
Healthcare payer, Facets, or provider data experience
Neo4j or graph database experience (pending Flag 2)
Track record of working autonomously with minimal hand-holding

Work arrangement
Yes