A Data Engineer will analyze, design, and develop data products, pipelines, and information architecture deliverables, focusing on data as an enterprise asset. This role also supports cloud infrastructure automation and CI/CD using Terraform, GitHub, and GitHub Actions to deliver scalable, reliable, and secure data solutions.
Requirements
- 5+ years of experience as a Data Engineer
- Hands‑on experience with Azure Databricks, Spark, and Python
- Experience with Delta Live Tables (DLT) or Databricks SQL
- Strong SQL and database background
- Experience with Azure Functions, messaging services, or orchestration tools
- Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)
- Experience monitoring and optimizing Databricks clusters or workflows
- Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms
- Experience with Terraform for cloud infrastructure provisioning
- Experience with GitHub and GitHub Actions for version control and CI/CD automation
- Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior)
- Familiarity with SDLC and modern engineering practices
- Ability to balance multiple priorities, work independently, and stay organized
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
Benefits
- Medical insurance
- Vision insurance
- 401(k)
Cincinnati, OH
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