
Data Engineer
Cohort AI
full-time
Posted on:
Location Type: Remote
Location: Illinois • United States
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Tech Stack
About the 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
Requirements
- 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)
Benefits
- Flexible working environment
- Professional development opportunities
- Health Insurance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonPySparkSparkSQLdata pipelinesdata transformationdata quality checksdata modeling
Soft Skills
collaborationtroubleshootingcommunication