Gentis Solutions

Data Engineer

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Columbus, OH
125k/year - 138k/year
January 8, 2025
Applicants: 0 Interviewing: 0 Hired: 0
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Randi Brofft

Randi Brofft

Vice President
Information Technology Retail Transportation

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. 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 125k/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

  • 7+ years of experience in data engineering or a related role with exposure to project delivery methodologies such as Waterfall, Iterative, and Agile
  • Expertise in designing and implementing scalable and secure data solutions using Azure data services (Data Lake, Synapse Analytics, Databricks)
  • Strong knowledge of cloud security principles, including Azure Active Directory, network security groups, and encryption services
  • Proficiency in Python for data engineering tasks
  • Exceptional analytical and problem-solving skills, with a process-oriented mindset
  • Proven ability to work independently under tight deadlines in high-priority situations
  • Excellent written, verbal, and presentation communication skills
  • Strong organizational skills and ability to manage conflict effectively
  • Demonstrated leadership and teamwork capabilities with adaptability and openness to feedback
  • Bachelor’s degree in computer science or related field, or equivalent work experience
  • Commitment to ongoing professional training (minimum of 40 hours annually, including 10 hours specific to this role)

Nice to Have

  • ITIL v3 or v4 certification
  • Familiarity with utility industry practices and standards
  • Experience with statistical analysis or BI tools for data visualization
  • Advanced knowledge of building custom metrics and calculations
  • Experience in customer journey analytics