About this role

Build and maintain data pipelines to ingest, transform, and organize data from multiple sources
Work with clinical, claims, or similar structured datasets and map them into standardized data models
Run data quality checks to ensure accuracy and consistency
Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities
Collaborate with cross-functional teams including data, product, and business stakeholders
Help maintain ongoing data refresh processes and troubleshoot pipeline issues when needed

Bachelor’s degree in Computer Science or a related field (or equivalent hands-on experience)
Strong working knowledge of SQL
Familiarity with Python, PySpark, or SparkSQL
Experience with modern data platforms like Databricks, Snowflake, or BigQuery
Comfort working in a remote, collaborative environment
Based in the United States (preferred time zones: Central, Mountain, or Pacific)

Data Engineer

Key skills