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Data Governance Engineer Jobs (NOW HIRING)

Tenaska

Data Governance Engineer

Omaha, NE · On-site

$104K - $124K/yr

Tenaska is seeking a Data Governance Engineer to help transform our enterprise data governance model from a traditional, manual approach into a modern, automated operating model powered by ...

Tenaska, Inc.

Data Governance Engineer

Omaha, NE · On-site

$104K - $124K/yr

Tenaska is seeking a Data Governance Engineer to help transform our enterprise data governance model from a traditional, manual approach into a modern, automated operating model powered by ...

CYNET SYSTEMS

Data Governance Engineer

New York, NY · On-site

$65 - $70/hr

Proven experience leading enterprise Data Governance programs and transformations. * Consulting ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

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Data Governance Engineer information

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How much do data governance engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data governance engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a data governance engineer?

Data Governance Engineers are professionals responsible for designing, implementing, and maintaining systems and processes that ensure data is accurate, consistent, secure, and compliant with relevant regulations. They work closely with data stewards, IT teams, and business units to create data policies, manage metadata, and oversee data quality initiatives. Their role is crucial in helping organizations maximize the value of their data assets while minimizing risks related to data privacy and misuse.

What are the key skills and qualifications needed to thrive as a data governance engineer?

To thrive as a Data Governance Engineer, you need a solid understanding of data management principles, metadata standards, data quality frameworks, and typically a degree in computer science, information systems, or a related field. Familiarity with data governance tools like Collibra, Informatica, or Alation, as well as proficiency in SQL, data modeling, and regulatory compliance frameworks such as GDPR, is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for collaborating with stakeholders and ensuring adherence to data policies. These skills and qualities are vital to maintain data integrity, compliance, and support informed business decision-making.

How does a data governance engineer typically collaborate with data stewards and business units to ensure data quality?

A Data Governance Engineer works closely with data stewards and various business units to define, implement, and monitor data quality standards. This involves facilitating cross-functional meetings, translating business requirements into technical data policies, and creating automated processes to enforce those standards. Regular collaboration ensures that data assets are accurate, secure, and compliant with regulations, while also supporting business goals. By acting as a bridge between technical teams and business stakeholders, Data Governance Engineers help foster a culture of data accountability and transparency.

Is data governance a good career?

Data Governance Engineer is a growing role focused on managing data quality, security, and compliance within organizations. It requires knowledge of data management tools, policies, and regulations, making it a stable and in-demand career path with opportunities for advancement. The field offers a blend of technical and strategic work, suitable for those interested in data integrity and organizational compliance.

What does a data governance engineer do?

A data governance engineer is responsible for establishing and maintaining data management policies, standards, and procedures to ensure data quality, security, and compliance. They often work with data catalogs, metadata management tools, and collaborate with data stewards and IT teams to implement data governance frameworks. Strong knowledge of data privacy regulations and data modeling is essential for this role.
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Data Governance Engineer jobs near you
Infographic showing various Data Governance Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Governance Engineer

Tenaska

Omaha, NE • On-site

$104K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Tenaska is one of the largest privately held companies in the United States, an organization that's adept in natural gas and power marketing, power management, development and acquisition of generation assets, operation of power plants and more.
Onsite: Omaha, NE
Position Summary:
Tenaska is seeking a Data Governance Engineer to help transform our 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.
Essential Job Functions:
Automate Data Governance Processes
  • Develop AI agents and workflow automation solutions using AI coding tools, large language models (LLMs), APIs, Model Context Protocol (MCP), and enterprise data sources.
  • Design and implement automated governance controls directly within data pipelines to ensure trusted, compliant, and high-quality data reaches enterprise users and AI systems.
  • Develop Policy-as-a-code functions using modern engineering practices, including version control, testing, and deployment processes.

Advance Metadata Management & Data Discovery
  • Build and maintain automated metadata management frameworks to improve data cataloging, lineage visibility and data product management.
  • Implement and enhance enterprise data catalog capabilities through active metadata management and automated discovery frameworks.

Improve Data Quality & Reliability
  • Build and maintain automated data quality frameworks that proactively identify issues and anomalies.
  • Implement monitoring, telemetry, alerting, and data drift detection capabilities.
  • Evaluate and optimize data quality tools and processes to improve enterprise data trust.

Support Data Architecture & Platform Optimization
  • Partner with data engineering teams to optimize governance capabilities across modern cloud data platforms.
  • Support administration and continuous improvement of enterprise data catalog, data quality, and master data management (MDM) platforms.
  • Help define requirements and evaluate solutions that support enterprise data strategy.

Drive Data Governance Adoption
  • Act as a bridge between technical teams, business stakeholders, data owners, data stewards, and risk/compliance partners.
  • Translate complex governance concepts into clear, practical processes that enable adoption across the organization.
  • Promote a culture of data ownership, accountability, and trust through self-service governance practices.

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
  • 4-6 years of experience in data engineering, software engineering, or a highly technical data management role.
  • Experience designing, developing, and deploying production-grade software solutions.
  • Strong programming experience with:
  • Python
    • SQL
    • APIs
    • Version control tools (Git/GitHub)
    • Software Development Life Cycle (SDLC) practices
  • Experience working with modern data ecosystems, including cloud data platforms such as:
    • Microsoft Fabric
    • Snowflake
    • Databricks
  • Cloud data lakehouse and enterprise data warehouse architectures
  • Experience developing automated data quality frameworks, controls, monitoring, and validation processes.
  • Experience with metadata management, data cataloging, lineage, or data discovery solutions.
  • Understanding of master data management (MDM) concepts and enterprise data governance practices.
  • Experience collaborating with both technical teams and business stakeholders to drive data adoption and accountability.

Preferred Qualifications:
  • Experience building AI agents or intelligent automation solutions using:
    • Large Language Models (LLMs)
    • Enterprise APIs
    • Model Context Protocol (MCP)
    • AI coding tools and developer platforms
  • 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.

Employee Benefits:
At Tenaska we care about the wellbeing of our employees and their families. That's why we offer our employees a comprehensive benefit package. Benefits included below:
  • Health, dental, vison, disability, and life insurance
  • Excellent 401(k) plan
  • Incentive-based, competitive salary packages
  • Health/dependent care flex accounts
  • Tuition assistance
  • Long-term disability coverage
  • Adoption benefits
  • Employee assistance program
  • Paid vacations and holidays
  • Generous sick leave
  • Charitable giving program
  • Paid maternity/paternity leave
  • Wellness programs

TENASKA IS AN EQUAL OPPORTUNITY EMPLOYER
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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