Data Governance Engineer

Insight Global · Omaha, NE
LinkedIn

Posted

Aug 11, 2026 (Aug 11)

Seniority

Senior

Work Model

On-site

Type

Not Specified

Category

Data & ML

Salary

$110k – $150k

Skills

Artificial Intelligence Databricks Python Snowflake SQL

Description

JOB DESCRIPTION - PERM - ONSITE - $110,000 - $150,000/yr depending on years of experience Insight Global is seeking a Data Governance Engineer for a large energy company in Omaha, Nebraska to help transform an enterprise data governance model from a traditional, manual approach into a modern, automated operating model powered by engineering practices and artificial intelligence. This role will sit at the intersection of software engineering, data engineering, AI automation, and enterprise data management. The ideal candidate will build intelligent solutions that automate governance processes, improve data quality, strengthen metadata management, and enable teams across the organization to confidently leverage trusted data. The Data Governance Engineer will play a key role in designing and implementing automated governance frameworks, developing AI-driven solutions, and partnering with technical and business stakeholders to create a scalable data ecosystem. REQUIRED SKILLS AND EXPERIENCE 4-8 years of experience working within Data Engineering, Software Engineering, or a highly technical data management role Strong Python development experience Advanced SQL skills Experience with modern data ecosystems, including cloud data platforms like Microsoft Fabric, Snowflake or Databricks AI Engineering knowledge- experience developing AI agents and automation solutions using AI coding tools, LLMs, APIs and MCPs Understanding of MDM concepts and enterprise data governance practices Excellent communication skills and experience collaborating with both technical teams and business stakeholders to drive data adoption and accountability NICE TO HAVE SKILLS AND EXPERIENCE Experience with data catalog platforms such as Atlan or Data.world. Experience with MDM platforms. Experience implementing governance practices within complex enterprise environments. Strong understanding of data security, compliance, and risk management principles.