Title: Data Engineer
Location: Chicago, IL | Hybrid
Type: 6 month initial – C2H
Join a fast growing data organization transforming how analytics and insights drive business decisions. This is your chance to take a high-impact role where you’ll design, build, and optimize scalable data pipelines and modern analytics workflows. If you enjoy solving complex data challenges and delivering reliable, high-quality solutions, this is the role for you.
What You’ll Do:
- Develop and maintain ETL/data pipelines for batch and streaming workloads
- Build and manage analytics workflows using dbt
- Design and implement data models in Snowflake
- Orchestrate data integration using Azure Data Factory (ADF)
- Participate in CI/CD pipelines and deployment processes
- Collaborate with business teams to translate requirements into actionable insights
Core Skills:
- Python programming for data workflows
- ETL pipeline development and data integration
- Snowflake and dbt (data build tool) expertise
- Azure Data Factory / ADF experience
- CI/CD and deployment pipeline knowledge
- Docker/ AI tooling
