Data Governance Engineer

Contract Staffing Specialists, Inc.
Omaha, NE, United States
29 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Cascading Style Sheets (CSS) Information Systems Computer Programming Data Cleansing Information Engineering Data Governance Data Integrity Data Security Data Warehousing DevOps
+22 more
Python (Programming Language) Metadata Meta-Data Management Metadata Repositories Software Deployment Software Engineering SQL Databases Technical Data Management Systems Enterprise Data Management Policy as Code Cloud Platform System Large Language Models Snowflake Data Strategy Microsoft Fabric Information Technology Data Lineage Data Management Data Lakehouse Software Version Control Data Pipelines Databricks

Job description

We are seeking a Data Governance Engineer to help modernize and automate enterprise data governance initiatives. This individual will combine expertise in software engineering, data engineering, automation, and AI to build scalable governance solutions that improve data quality, metadata management, and overall data reliability.

This role will partner with technical teams and business stakeholders to develop automated governance processes, implement modern data management practices, and help establish a trusted data environment across the organization. Key Responsibilities Data Governance & Automation

  • Design and develop automated data governance solutions using AI, APIs, and modern engineering practices.
  • Integrate governance controls into data pipelines to improve data quality, compliance, and consistency.
  • Develop policy-as-code solutions utilizing version control, testing, and deployment best practices.

Metadata & Data Management

  • Build and maintain metadata management processes to improve data cataloging, lineage, and discoverability.
  • Enhance enterprise data catalog capabilities through automated metadata collection and management.

Data Quality

  • Develop automated data quality monitoring, validation, and alerting processes.
  • Implement controls to identify anomalies, data drift, and other quality issues.
  • Recommend improvements to data quality tools and governance processes.

Platform & Architecture Support

  • Collaborate with data engineering teams to enhance governance capabilities across cloud-based data platforms.
  • Support enterprise data management tools, including data catalogs, data quality, and master data management (MDM) solutions.
  • Assist in evaluating technologies that support long-term data strategy.

Collaboration

  • Work closely with technical teams, business users, data owners, and governance stakeholders.
  • Help establish governance standards, documentation, and best practices.
  • Promote data stewardship and enterprise-wide adoption of governance processes.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • 4+ years of experience in data engineering, software engineering, or a technical data management role.
  • Experience developing and deploying production software solutions.
  • Strong programming skills with:
  • Python
  • SQL
  • REST APIs
  • Git/GitHub
  • Software Development Life Cycle (SDLC) practices
  • Experience working with modern cloud data platforms such as:
  • Microsoft Fabric
  • Snowflake
  • Databricks
  • Data lakehouse or enterprise data warehouse environments
  • Experience implementing automated data quality, monitoring, and validation frameworks.
  • Knowledge of metadata management, data cataloging, and data lineage concepts.
  • Familiarity with Master Data Management (MDM) principles and enterprise data governance.
  • Strong communication skills with the ability to collaborate across both technical and business teams.

Preferred Qualifications

  • Experience with AI-enabled development or automation, including Large Language Models (LLMs), AI coding tools, APIs, or Model Context Protocol (MCP).
  • Experience with enterprise data catalog platforms such as Atlan or data.world.
  • Experience supporting MDM platforms.
  • Background implementing data governance programs within large or complex organizations.
  • Understanding of data security, regulatory compliance, and risk management principles., CSS takes a keen interest in thoroughly understanding the client’s needs for a particular position. And then works to recognize the motivations and capabilities of candidates, looking for the win-win for client and candidate in the areas of fit and satisfaction for both parties. (more…)

Motivated Candidate

About the company

Ready to take the next leap in your career? Explore our job opportunities in the vibrant city of Omaha, Nebraska, where endless growth possibilities await. Known for its Midwest charm and bustling job market, Omaha offers a perfect blend of big-city amenities and small-town feel. From the iconic Henry Doorly Zoo, the renowned Orpheum Theater, to the annual College World Series, Omaha is a hub of cultural attractions and bustling activity. Indulge in the famous Reuben sandwich, catch a game with the beloved Creighton Bluejays, or unwind at the tranquil Heartland of America Park. Discover your dream job in this dynamic city - where work meets play, and opportunities are endless.

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