Data Governance Engineer

CSS Staffing; Omaha (NE); On-site; USD 110,000 - 160,000; Full time

Job summary

CSS Staffing is seeking a Data Governance Engineer in Omaha, NE (onsite) to help modernize and automate enterprise data governance initiatives. This role blends software engineering, data engineering, automation, and AI to build scalable governance solutions that improve data quality, metadata management, and data reliability.

You will partner with technical teams and business stakeholders to implement governance processes, establish a trusted data environment, and promote enterprise-wide data

Qualifications

• Bachelor's degree in CS, IS, Data Eng, or related field.
• 4+ years in data engineering or a technical data management role.
• Experience deploying production software solutions.
• Strong coding: Python, SQL, REST APIs, Git/GitHub.
• Experience with cloud data platforms: Microsoft Fabric, Snowflake, Databricks.
• Knowledge of metadata management, data cataloging, and data lineage.
• Strong communication and cross-team collaboration.

Responsibilities

• Design and develop automated data governance solutions using AI, APIs, and modern engineering practices.
• Integrate governance controls into data pipelines to improve quality, compliance, and consistency.
• Develop policy-as-code solutions with version control, testing, and deployment.
• Build metadata management processes to improve cataloging, lineage, and discoverability.
• Enhance enterprise data catalog capabilities through automated metadata collection and management.
• Develop automated data quality monitoring, validation, and alerting.
• Collaborate with data engineering teams to enhance governance on cloud platforms.
• Support data management tools including data catalogs, data quality, and MDM solutions.
• Promote governance standards and data stewardship across the organization.

Skills

Python

SQL

REST APIs

Git/GitHub

SDLC

Data governance

Metadata management

Data cataloging

Data lineage

MDM

Communication

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field

Tools

Microsoft Fabric

Snowflake

Databricks

Atlan

data.world

Job description

Data Governance Engineer Location: Omaha, NE (Onsite)

Position Overview

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.

Required Qualifications

• 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.