Associate Data Engineer

About the Role

We’re looking for an Associate Data Engineer to join our team and help make data reliable, usable, and impactful.

In this role, you’ll work closely with different teams to bring in new datasets, clean and transform them, and make sure they’re ready for analysis. A big part of your work will involve building and maintaining data pipelines, mapping data into standard formats, and ensuring everything runs smoothly behind the scenes.

This is a great opportunity if you’re early in your data engineering career and enjoy working hands-on with data, solving real-world problems, and learning how large-scale data systems operate—especially in the healthcare space.

Responsibilities

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

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)