Data Analytics Engineer Visa Sponsorship Jobs in Virginia
Virginia's data analytics engineer market spans federal contractors in the D.C. suburbs, cloud infrastructure firms in the Northern Virginia tech corridor, and defense technology companies in Reston, McLean, and Arlington. Employers like Booz Allen Hamilton, Leidos, and Capital One regularly recruit international data analytics engineering talent, making Virginia one of the more active sponsorship markets on the East Coast.
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Get Access To All JobsINTRODUCTION
The Office of Data Governance is seeking an experienced Data Governance Analyst to support implementation of the agency's Enterprise Data Governance Program.
The analyst will work closely with Data Owners, Data Stewards, Business Owners, Enterprise Architecture, Data Engineers, Project Teams, and Information Security to establish trusted, governed enterprise data supporting both operational and analytical use cases.
This role focuses on governance activities supporting enterprise data ingested into the AWS Data Platform and consumed through Snowflake. The successful candidate will help establish governance processes, metadata, business rules, data quality standards, and stewardship practices while supporting the agency's growing enterprise data platform.
REQUIRED EXPERIENCE:
- Minimum 10 years of experience in Data Governance, Data Management, Data Quality, Business Analysis, Metadata Management, or related disciplines.
- Experience implementing enterprise Data Governance programs.
- Experience facilitating governance workshops with business and technical stakeholders.
- Strong SQL skills for data analysis and validation.
- Experience documenting metadata, business glossaries, and data dictionaries.
- Experience defining business rules and Critical Data Elements (CDEs).
- Experience performing data profiling, reconciliation, and validation.
- Excellent written and verbal communication skills.
PREFERRED EXPERIENCE
Experience with several of the following technologies:
- Amazon Web Services (AWS)
- S3
- Glue
- Glue Data Catalog
- Lake Formation
- Snowflake
- Python
- SQL
- Power BI
- SharePoint
- Experience in healthcare, behavioral health, Medicaid, or Virginia state government is highly desirable.
KEY RESPONSIBILITIES:
The successful candidate will:
Data Governance
- Support implementation of the DBHDS Enterprise Data Governance Program.
- Facilitate governance workshops with business stakeholders.
- Support onboarding of new applications into the Enterprise Data Governance Program.
- Partner with Data Owners and Data Stewards to establish governance for new enterprise datasets.
- Develop and maintain governance policies, standards, procedures, and supporting documentation.
Metadata Management
- Capture and maintain business metadata, technical metadata, and data dictionaries.
- Develop and maintain the Enterprise Business Glossary.
- Define and document Critical Data Elements (CDEs).
- Map business metadata to technical metadata.
- Support metadata ingestion into the enterprise metadata repository.
Data Quality
- Define business data quality rules.
- Support data profiling and business validation activities.
- Monitor data quality metrics and trends.
- Assist Data Stewards with remediation planning.
- Perform reconciliation and validation across enterprise data sources.
Data Lineage & Architecture
- Document business and technical data lineage.
- Document end-to-end data flows.
- Assist with impact analysis for new data sources.
- Support governance activities across Bronze, Silver, Gold, Operational Data Store (ODS), and Analytical Data Store (ADS) layers.
Enterprise Data Platform
- Collaborate with Data Engineers supporting Python-based AWS data pipelines.
- Support governance of enterprise datasets published to Snowflake.
- Assist with proof-of-concept initiatives to consolidate data from multiple source systems into governed enterprise data assets.
- Support Information Lifecycle Management (ILM), data classification, retention, and internal data sharing processes.
Reporting & Communication
- Produce governance dashboards and metrics.
- Prepare executive presentations and governance reports.
- Present recommendations to governance committees and project teams.
- Communicate governance requirements to both business and technical audiences.
DESIRED KNOWLEDGE:
Candidates with experience in the following areas are strongly preferred:
- Enterprise Data Governance
- Data Stewardship
- Metadata Management
- Data Catalogs
- Data Quality Management
- Master Data Management
- Business Glossaries
- Critical Data Elements
- Data Classification
- Data Lineage
- Information Lifecycle Management
- Cloud Data Platforms
- Operational Data Stores
- Data Warehousing
- AI-ready data governance
DESIRED CHARACTERISTICS
- Strong facilitation skills
- Excellent analytical abilities
- Outstanding written and verbal communication
- Highly organized and detail-oriented
- Self-motivated and collaborative
- Ability to translate business requirements into governance artifacts
- Passion for improving enterprise data quality and governance
Skill Matrix:
- Data Analysis Required 10 Years
- Experience with Data Lineage / Cataloging Required 10 Years
- Data Policy /Procedure creation Required 10 Years
- Proficiency with SQL Required 10 Years
- Datawarehouse Experience Required 10 Years
- Requirements Elicitation Required 10 Years
- Experience with Databases(Relational databases, SQL Server, Oracle, Snowflake etc) Required 7 Years
Benefits at IntelliBee
- Long-Term Stability: Join us on a multi-year opportunities with room to grow.
- Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well.
- Future Planning: Enroll in our 401(k) program and invest in your financial security.
- GC Assistance: We support immediate Green Card processing, if required.
INTRODUCTION
The Office of Data Governance is seeking an experienced Data Governance Analyst to support implementation of the agency's Enterprise Data Governance Program.
The analyst will work closely with Data Owners, Data Stewards, Business Owners, Enterprise Architecture, Data Engineers, Project Teams, and Information Security to establish trusted, governed enterprise data supporting both operational and analytical use cases.
This role focuses on governance activities supporting enterprise data ingested into the AWS Data Platform and consumed through Snowflake. The successful candidate will help establish governance processes, metadata, business rules, data quality standards, and stewardship practices while supporting the agency's growing enterprise data platform.
REQUIRED EXPERIENCE:
- Minimum 10 years of experience in Data Governance, Data Management, Data Quality, Business Analysis, Metadata Management, or related disciplines.
- Experience implementing enterprise Data Governance programs.
- Experience facilitating governance workshops with business and technical stakeholders.
- Strong SQL skills for data analysis and validation.
- Experience documenting metadata, business glossaries, and data dictionaries.
- Experience defining business rules and Critical Data Elements (CDEs).
- Experience performing data profiling, reconciliation, and validation.
- Excellent written and verbal communication skills.
PREFERRED EXPERIENCE
Experience with several of the following technologies:
- Amazon Web Services (AWS)
- S3
- Glue
- Glue Data Catalog
- Lake Formation
- Snowflake
- Python
- SQL
- Power BI
- SharePoint
- Experience in healthcare, behavioral health, Medicaid, or Virginia state government is highly desirable.
KEY RESPONSIBILITIES:
The successful candidate will:
Data Governance
- Support implementation of the DBHDS Enterprise Data Governance Program.
- Facilitate governance workshops with business stakeholders.
- Support onboarding of new applications into the Enterprise Data Governance Program.
- Partner with Data Owners and Data Stewards to establish governance for new enterprise datasets.
- Develop and maintain governance policies, standards, procedures, and supporting documentation.
Metadata Management
- Capture and maintain business metadata, technical metadata, and data dictionaries.
- Develop and maintain the Enterprise Business Glossary.
- Define and document Critical Data Elements (CDEs).
- Map business metadata to technical metadata.
- Support metadata ingestion into the enterprise metadata repository.
Data Quality
- Define business data quality rules.
- Support data profiling and business validation activities.
- Monitor data quality metrics and trends.
- Assist Data Stewards with remediation planning.
- Perform reconciliation and validation across enterprise data sources.
Data Lineage & Architecture
- Document business and technical data lineage.
- Document end-to-end data flows.
- Assist with impact analysis for new data sources.
- Support governance activities across Bronze, Silver, Gold, Operational Data Store (ODS), and Analytical Data Store (ADS) layers.
Enterprise Data Platform
- Collaborate with Data Engineers supporting Python-based AWS data pipelines.
- Support governance of enterprise datasets published to Snowflake.
- Assist with proof-of-concept initiatives to consolidate data from multiple source systems into governed enterprise data assets.
- Support Information Lifecycle Management (ILM), data classification, retention, and internal data sharing processes.
Reporting & Communication
- Produce governance dashboards and metrics.
- Prepare executive presentations and governance reports.
- Present recommendations to governance committees and project teams.
- Communicate governance requirements to both business and technical audiences.
DESIRED KNOWLEDGE:
Candidates with experience in the following areas are strongly preferred:
- Enterprise Data Governance
- Data Stewardship
- Metadata Management
- Data Catalogs
- Data Quality Management
- Master Data Management
- Business Glossaries
- Critical Data Elements
- Data Classification
- Data Lineage
- Information Lifecycle Management
- Cloud Data Platforms
- Operational Data Stores
- Data Warehousing
- AI-ready data governance
DESIRED CHARACTERISTICS
- Strong facilitation skills
- Excellent analytical abilities
- Outstanding written and verbal communication
- Highly organized and detail-oriented
- Self-motivated and collaborative
- Ability to translate business requirements into governance artifacts
- Passion for improving enterprise data quality and governance
Skill Matrix:
- Data Analysis Required 10 Years
- Experience with Data Lineage / Cataloging Required 10 Years
- Data Policy /Procedure creation Required 10 Years
- Proficiency with SQL Required 10 Years
- Datawarehouse Experience Required 10 Years
- Requirements Elicitation Required 10 Years
- Experience with Databases(Relational databases, SQL Server, Oracle, Snowflake etc) Required 7 Years
Benefits at IntelliBee
- Long-Term Stability: Join us on a multi-year opportunities with room to grow.
- Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well.
- Future Planning: Enroll in our 401(k) program and invest in your financial security.
- GC Assistance: We support immediate Green Card processing, if required.
Data Analytics Engineer Job Roles in Virginia
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Search Data Analytics Engineer Jobs in VirginiaData Analytics Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in Virginia?
Federal contractors and technology firms drive most data analytics engineer sponsorship in Virginia. Booz Allen Hamilton, Leidos, Northrop Grumman, and SAIC sponsor regularly through the H-1B visa program, as do commercial employers like Capital One, Freddie Mac, and Amazon Web Services, which has a major presence in Northern Virginia's data center corridor. Consulting firms such as Deloitte and Accenture also file H-1B petitions for analytics engineering roles based out of the D.C. metro area.
Which visa types are most common for data analytics engineer roles in Virginia?
The H-1B is the predominant visa category for data analytics engineers in Virginia, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Some candidates enter through the Optional Practical Training period on an F-1 visa before employer sponsorship. Intracompany transferees from multinational firms occasionally use the L-1B for specialized knowledge, though H-1B remains by far the most common path.
Which cities in Virginia have the most data analytics engineer sponsorship jobs?
Northern Virginia concentrates the largest share of data analytics engineer sponsorship opportunities, particularly in Arlington, Reston, McLean, and Herndon. The proximity to federal agencies and a dense cluster of defense contractors and cloud providers makes this corridor the primary hiring zone. Richmond is a secondary market with activity from financial services firms including Capital One's headquarters. Charlottesville and Blacksburg generate some demand through university-affiliated research and technology spin-offs.
How to find data analytics engineer visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically for visa sponsorship, so you can search data analytics engineer roles in Virginia without sorting through positions that exclude international candidates. Because Northern Virginia has a high concentration of federal contractors, it helps to look for roles that explicitly list H-1B sponsorship or prior sponsorship history. Migrate Mate surfaces that information directly, saving significant time when targeting Virginia's sponsorship-active employers.
Are there any Virginia-specific considerations for data analytics engineers seeking sponsorship?
Virginia's Northern Virginia corridor is one of the densest H-1B filing regions in the country, partly because federal contractors and cloud providers are headquartered or have major operations there. However, federal contractor roles sometimes require security clearances, which can complicate or delay sponsorship for non-citizens. Candidates should clarify clearance requirements early in the process. Virginia universities, including Virginia Tech and George Mason, also produce graduate pipelines that feed local employer sponsorship programs, particularly for analytics and data engineering roles.
What is the prevailing wage for sponsored data analytics engineer jobs in Virginia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.