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Data Governance Engineer Jobs in Virginia (NOW HIRING)

Data Governance Engineer

Reston, VA · On-site

$119K - $143K/yr

Information Governance Engineer (Data Discovery & Remediation) Summary This role supports the execution of the data discovery and remediation program by improving classification accuracy and helping ...

Data Governance Analyst (Contract) Remote - Must reside in Central Virginia and be able to come ... Working experience in a DevOps development environment, preferably Microsoft-based * Hands-on ...

Partner with Data Engineers and platform teams to automate technical metadata capture, lineage, and schema evolution across data pipelines. * Support the definition and rollout of governance ...

Data Governance Analyst (Contract) Remote - Must reside in Central Virginia and be able to come ... Working experience in a DevOps development environment, preferably Microsoft-based * Hands-on ...

Data Governance Specialist

Mclean, VA · On-site

$95K - $125K/yr

Partner with Data Engineers and platform teams to automate technical metadata capture, lineage, and schema evolution across data pipelines. * Support the definition and rollout of governance ...

Partner with Data Engineers and platform teams to automate technical metadata capture, lineage, and schema evolution across data pipelines. * Support the definition and rollout of governance ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data ...

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Data Governance Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do data governance engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data governance engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Governance Engineer, and why are they important?

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.

What are Data Governance Engineers?

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.

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.
What are popular job titles related to Data Governance Engineer jobs in Virginia? For Data Governance Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Governance Engineer jobs in Virginia look for? The top searched job categories for Data Governance Engineer jobs in Virginia are:
What cities in Virginia are hiring for Data Governance Engineer jobs? Cities in Virginia with the most Data Governance Engineer job openings:
Infographic showing various Data Governance Engineer job openings in Virginia as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.
Data Governance Engineer

Data Governance Engineer

3B Staffing LLC

Reston, VA • On-site

$119K - $143K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

1-2 DAYS A WEEK ONSITE LOOKING FOR SOMEONE WITH STRONG BIG ID EXP Job Title: Information Governance Engineer (Data Discovery & Remediation) Summary This role supports the execution of the data discovery and remediation program by improving classification accuracy and helping convert findings into actionable workflows. The position works hands-on with data discovery tools and ticketing systems to ensure results are reliable, organized, and actionable. Key Responsibilities • Execute and monitor data scans across priority data sources • Support creation and tuning of classifiers to improve accuracy and reduce false positives • Review and analyze findings (e.g., sensitive data, aged data, retention risks) • Create and manage remediation tickets in Jira (and later ServiceNow) • Apply consistent tagging, routing, and tracking of findings • Support development of repeatable workflows from discovery to remediation • Maintain basic documentation for processes and improvements Qualifications • Experience with classifier development or tuning (regex, NER, pattern matching) • Experience with ticketing tools (e.g., Jira, ServiceNow) • Basic understanding of data types (structured vs. unstructured) • Strong attention to detail and problem-solving skills • Exposure to data discovery tools like BigID • Familiarity with data governance, privacy, or security concepts • Basic scripting or querying skills (SQL, Python, APIs) Success • Improved accuracy of classification results • Consistent conversion of findings into actionable tickets • Establishment of repeatable workflows from discovery to remediation