Senior Data Engineer
Information Technology
•
Data Engineering
Azure Data
Databricks
Python
Terraform
Blue Ash, OH
114k/year - 150k/year
April 22, 2026
Candidates:
3
Interviewing: 0
Hired: 0
Contract-to-Hire
Remote Allowed
About the Job
Gentis Solutions is looking for a Senior Data Engineer to join our team. This role is part of our Professional Consultants group, working directly with clients to accomplish their goals. The client has expressed an interest in hiring the individual after project completion. Consulting engagements of this type typically last an average of 3-6 months.
Compensation for this position ranges from 114k/year - 150k/year per year, based on experience. Payment is bi-weekly and is based on all hours worked, without eligibility for overtime.
This position allows for individuals to work fully remote anywhere in the continental US.
Requirements
- Strong hands-on experience with Azure Data Lake (Gen2) and Azure Databricks
- Advanced SQL and Python/PySpark experience
- Experience building and optimizing scalable data pipelines
- Experience with data modeling, mapping, and transformation
- Experience with data cataloging/governance tools (e.g., Unity Catalog, Alation)
- Experience working in Agile/Scrum environments
- Strong analytical and problem-solving skills
- Proven ability to collaborate with cross-functional teams
Plusses
- Experience in supply chain, logistics, or warehouse data domains
- Experience with Manhattan (WMS) or similar systems
- Experience in large enterprise data environments
- Experience working with analytics partners