Data Engineer
Information Technology
•
Data Engineering
Azure
Databricks
Python
SQL
Spark
Terraform
Blue Ash, OH
108k/year - 127k/year
March 19, 2026
Candidates:
0
Interviewing: 0
Hired: 0
Contract
In Person
About the Job
Gentis Solutions is looking for a Data Engineer to join our team. This role is part of our Professional Consultants group, working directly with clients to accomplish their goals. Consulting engagements typically last an average of 12 months but often extend in duration.
Compensation for this position ranges from 108k/year - 127k/year per year, based on experience. Payment is bi-weekly and is based on all hours worked, without eligibility for overtime.
This position requires the individual to be located in the Blue Ash, OH area.
Requirements
- 5+ years of experience as a Data Engineer
- Strong experience with Azure Databricks, Spark, and Python
- Strong SQL skills and database experience
- Experience monitoring and optimizing Databricks clusters or workflows
- Experience working with Azure data services and integrating them with Databricks and enterprise data platforms
- Experience building and optimizing distributed data processing systems (e.g., partitions, joins, shuffles, cluster performance)
- Experience with data pipeline development using tools such as Delta Live Tables (DLT) or Databricks SQL
- Experience with orchestration, messaging services, or serverless components (e.g., Azure Functions)
- Experience with version control and CI/CD tools such as GitHub and GitHub Actions
- Experience using Terraform for cloud infrastructure provisioning
- Familiarity with SDLC and modern data engineering best practices
- Strong organizational skills with the ability to manage multiple priorities and work independently
Nice to Have
- Experience with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)