Cohort AI
Associate Data Engineer
About this role
Join a healthcare-focused data team as an Associate Data Engineer to build and maintain data pipelines that transform raw datasets into reliable, analysis-ready formats. You'll work with clinical and claims data, ensuring quality and consistency across multiple sources using modern data platforms.
What you'll do
- Build and maintain data pipelines for ingesting, transforming, and organizing multi-source datasets
- Map clinical, claims, and structured data into standardized data models
- Perform data quality checks to verify accuracy and consistency
- Work with tools like Databricks, BigQuery, Redshift, and dbt
- Collaborate with data, product, and business teams across the organization
- Maintain data refresh processes and troubleshoot pipeline issues
What they're looking for
- SQL
- Python or PySpark
- Data pipeline development
- Databricks, BigQuery, Snowflake, or Redshift
- dbt
- Data quality assurance
- Command-line utilities
- Healthcare data experience (preferred)
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Cohort AI
Cohort AI builds data infrastructure for healthcare organizations, transforming clinical and claims data into reliable, analysis-ready formats through robust data pipelines. The company is hiring data engineers to maintain and develop these data systems that ensure quality and consistency across healthcare datasets.
View all jobs at Cohort AILikely interview questions
- Walk us through a data pipeline you've built or worked on—what was the source data, how did you transform it, and how did you ensure quality?
- Tell us about a time you had to debug a failing pipeline in production. What was the issue and how did you resolve it?