Senior Data Engineer
Information Technology
•
Data Engineering
Azure Data
C#
C++
Java
Python
Columbus, OH
118k/year - 138k/year
October 20, 2025
Candidates:
1
Interviewing: 0
Hired: 0
Contract
In Person
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. Consulting engagements typically last an average of 12 months but often extend in duration.
Compensation for this position ranges from 118k/year - 138k/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 Columbus, OH area.
Requirements
- Bachelor’s degree in Computer Science or related technical field
- 5+ years of hands-on experience in software or data engineering with coding in Python
- Proficiency with Azure data services including Azure Data Lake, Azure Data Factory, and Databricks
- Strong experience with Python for developing and maintaining data solutions
- Expertise in Cloud Security, including Active Directory, network security groups, and encryption services
- Proven ability to build and maintain data architectures supporting both real-time and batch processing
- Solid understanding of database management, legacy and modern data modeling, and system architecture
- Experience implementing unit, integration, and performance testing frameworks
- Ability to optimize and manage technology costs and resource utilization
- Demonstrated teamwork, leadership, and cross-functional collaboration skills
- Experience working within Agile or Lean development frameworks
Nice to Have
- Experience with cloud cost optimization strategies or governance tools
- Familiarity with data pipeline monitoring and automation
- Exposure to multi-cloud environments (e.g., AWS, GCP)