Data Engineer Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest states for data engineer visa sponsorship, anchored by a dense cluster of federal contractors, defense firms, and technology companies in Northern Virginia's Dulles Tech Corridor. Major employers including Booz Allen Hamilton, Leidos, SAIC, Amazon Web Services, and Capital One actively hire data engineers and have established visa sponsorship programs.
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Get Access To All JobsHiring: Data Design Developer Azure Data Platform
Job Title: Data Design Developer
Location: Alexandria, VA Hybrid (2-3 Days Onsite per Week)
Local Candidates: Required (Alexandria, VA / DMV Area)
Experience Required: Minimum 8+ Years
Work Authorization: USC, GC, EAD
Valid Driver's License: Required
Openings: 1
Job Overview
We are seeking an experienced Data Design Developer with strong expertise in Microsoft Azure, SQL/NoSQL databases, data architecture, and application integration to support mission-critical applications for a major public transportation agency. The ideal candidate will have hands-on experience designing scalable data models, developing and optimizing database structures, integrating enterprise applications, and building reliable cloud-based data solutions using Microsoft Azure technologies. This position requires a professional who can work with existing systems, recommend improvements, develop new data architectures, and collaborate with cross-functional teams in an Agile environment.
Key Responsibilities
- Data Architecture & Database Design: Design, develop, and maintain scalable relational (SQL) and NoSQL database architectures, including data models, schemas, and document-based structures.
- Azure Data Platform Development: Build, manage, and optimize data solutions using Azure SQL Database, Azure SQL Managed Instance, Azure Cosmos DB, and Azure Blob Storage.
- Application Development: Develop and support cloud-based applications using .NET Core or Node.js, including APIs and backend data integrations.
- Data Integration & Pipelines: Design and implement data ingestion, transformation, mapping, and integration processes across enterprise applications and third-party systems.
- Data Modeling & Optimization: Improve existing database structures and design new data models based on business requirements, performance, and scalability needs.
- API & Enterprise Integration: Develop cross-platform API models and integrate systems such as Adobe Experience Manager (AEM), CRM platforms, and downstream data feeds.
- Analytics & Reporting: Design data structures supporting business intelligence, operational dashboards, reporting, analytics, and search capabilities.
- Data Quality & Governance: Implement data validation, governance standards, audit logging, archiving, and data security best practices.
- Production Support: Enhance, troubleshoot, and maintain highly available, mission-critical applications.
- Agile Collaboration: Work closely with developers, business analysts, architects, and stakeholders to deliver reliable solutions.
Required Qualifications & Technical Skills
Candidates must have at least 8 years of overall relevant IT experience, including a minimum of 5 years of hands-on experience in the following areas:
- SQL & NoSQL Database Development 5+ Years
- Relational database design and SQL development
- NoSQL databases and document-based data modeling
- Schema design, optimization, and denormalized data structures
- Microsoft Azure Data Technologies 5+ Years
- Azure SQL Database
- Azure SQL Managed Instance
- Azure Cosmos DB (MongoDB API)
- Azure Blob Storage
- Business Intelligence (BI) reporting data layers
- Cloud Application Development 5+ Years
- .NET Core or Node.js application development on Azure
- Data pipelines, ingestion, and transformation
- Data quality management and governance
- Cloud-based application integration
- API Development & Enterprise Integration 5+ Years
- Cross-platform API design and data modeling
- Enterprise data mapping and system integration
- Adobe Experience Manager (AEM) integrations
- CRM systems and downstream data feeds
- Data Analytics & Operational Systems 5+ Years
- Data models for operational dashboards and analytics
- Data archiving and search functionality
- Audit logging and enterprise reporting solutions
Education
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- An equivalent combination of education, professional experience, and relevant certifications may also be considered.
Preferred / Nice-to-Have Skills
The following qualifications are highly desirable but are not mandatory:
- GTFS / Transit Data Modeling: 5+ years of experience with General Transit Feed Specification (GTFS), enhanced GTFS, and GTFS-Realtime (GTFS-RT), including transit stops, routes, and network data structures.
- Third-Party Integrations: 8+ years of experience integrating, configuring, or exchanging data with external systems.
- PeopleSoft Cloud: 6+ years of experience supporting, implementing, or managing cloud-based PeopleSoft environments.
- PeopleSoft Certification: Preferred.
- Advanced Education: Master's degree in Computer Science or a related field, or equivalent professional experience.
- Experience supporting large-scale public-sector or transit-related enterprise applications.
- Familiarity with Microsoft Power Platform, Azure-based automation, and secure enterprise application development.
Mandatory Candidate Requirements
- Must have 8+ years of overall relevant IT experience.
- Must demonstrate strong hands-on expertise in Azure SQL, Cosmos DB, SQL/NoSQL database design, data modeling, and cloud architecture.
- Must have experience with .NET Core or Node.js, API development, and enterprise data integration.
- Must be local to Alexandria, VA, or the surrounding DMV area.
- Must be willing to work onsite 2-3 days per week.
- Must hold a valid driver's license.
- Must have eligible U.S. work authorization (USC, GC, H1B, or EAD).
Ideal Candidate Profile
The ideal candidate is an experienced Azure Data Developer or Data Architect who combines strong SQL/NoSQL database expertise with practical application development and enterprise integration experience. They should be comfortable designing complex data structures, modernizing existing systems, building scalable Azure solutions, and supporting high-availability production applications. Strong technical skills, problem-solving abilities, communication, and experience working in Agile teams are essential.
Hiring: Data Design Developer Azure Data Platform
Job Title: Data Design Developer
Location: Alexandria, VA Hybrid (2-3 Days Onsite per Week)
Local Candidates: Required (Alexandria, VA / DMV Area)
Experience Required: Minimum 8+ Years
Work Authorization: USC, GC, EAD
Valid Driver's License: Required
Openings: 1
Job Overview
We are seeking an experienced Data Design Developer with strong expertise in Microsoft Azure, SQL/NoSQL databases, data architecture, and application integration to support mission-critical applications for a major public transportation agency. The ideal candidate will have hands-on experience designing scalable data models, developing and optimizing database structures, integrating enterprise applications, and building reliable cloud-based data solutions using Microsoft Azure technologies. This position requires a professional who can work with existing systems, recommend improvements, develop new data architectures, and collaborate with cross-functional teams in an Agile environment.
Key Responsibilities
- Data Architecture & Database Design: Design, develop, and maintain scalable relational (SQL) and NoSQL database architectures, including data models, schemas, and document-based structures.
- Azure Data Platform Development: Build, manage, and optimize data solutions using Azure SQL Database, Azure SQL Managed Instance, Azure Cosmos DB, and Azure Blob Storage.
- Application Development: Develop and support cloud-based applications using .NET Core or Node.js, including APIs and backend data integrations.
- Data Integration & Pipelines: Design and implement data ingestion, transformation, mapping, and integration processes across enterprise applications and third-party systems.
- Data Modeling & Optimization: Improve existing database structures and design new data models based on business requirements, performance, and scalability needs.
- API & Enterprise Integration: Develop cross-platform API models and integrate systems such as Adobe Experience Manager (AEM), CRM platforms, and downstream data feeds.
- Analytics & Reporting: Design data structures supporting business intelligence, operational dashboards, reporting, analytics, and search capabilities.
- Data Quality & Governance: Implement data validation, governance standards, audit logging, archiving, and data security best practices.
- Production Support: Enhance, troubleshoot, and maintain highly available, mission-critical applications.
- Agile Collaboration: Work closely with developers, business analysts, architects, and stakeholders to deliver reliable solutions.
Required Qualifications & Technical Skills
Candidates must have at least 8 years of overall relevant IT experience, including a minimum of 5 years of hands-on experience in the following areas:
- SQL & NoSQL Database Development 5+ Years
- Relational database design and SQL development
- NoSQL databases and document-based data modeling
- Schema design, optimization, and denormalized data structures
- Microsoft Azure Data Technologies 5+ Years
- Azure SQL Database
- Azure SQL Managed Instance
- Azure Cosmos DB (MongoDB API)
- Azure Blob Storage
- Business Intelligence (BI) reporting data layers
- Cloud Application Development 5+ Years
- .NET Core or Node.js application development on Azure
- Data pipelines, ingestion, and transformation
- Data quality management and governance
- Cloud-based application integration
- API Development & Enterprise Integration 5+ Years
- Cross-platform API design and data modeling
- Enterprise data mapping and system integration
- Adobe Experience Manager (AEM) integrations
- CRM systems and downstream data feeds
- Data Analytics & Operational Systems 5+ Years
- Data models for operational dashboards and analytics
- Data archiving and search functionality
- Audit logging and enterprise reporting solutions
Education
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- An equivalent combination of education, professional experience, and relevant certifications may also be considered.
Preferred / Nice-to-Have Skills
The following qualifications are highly desirable but are not mandatory:
- GTFS / Transit Data Modeling: 5+ years of experience with General Transit Feed Specification (GTFS), enhanced GTFS, and GTFS-Realtime (GTFS-RT), including transit stops, routes, and network data structures.
- Third-Party Integrations: 8+ years of experience integrating, configuring, or exchanging data with external systems.
- PeopleSoft Cloud: 6+ years of experience supporting, implementing, or managing cloud-based PeopleSoft environments.
- PeopleSoft Certification: Preferred.
- Advanced Education: Master's degree in Computer Science or a related field, or equivalent professional experience.
- Experience supporting large-scale public-sector or transit-related enterprise applications.
- Familiarity with Microsoft Power Platform, Azure-based automation, and secure enterprise application development.
Mandatory Candidate Requirements
- Must have 8+ years of overall relevant IT experience.
- Must demonstrate strong hands-on expertise in Azure SQL, Cosmos DB, SQL/NoSQL database design, data modeling, and cloud architecture.
- Must have experience with .NET Core or Node.js, API development, and enterprise data integration.
- Must be local to Alexandria, VA, or the surrounding DMV area.
- Must be willing to work onsite 2-3 days per week.
- Must hold a valid driver's license.
- Must have eligible U.S. work authorization (USC, GC, H1B, or EAD).
Ideal Candidate Profile
The ideal candidate is an experienced Azure Data Developer or Data Architect who combines strong SQL/NoSQL database expertise with practical application development and enterprise integration experience. They should be comfortable designing complex data structures, modernizing existing systems, building scalable Azure solutions, and supporting high-availability production applications. Strong technical skills, problem-solving abilities, communication, and experience working in Agile teams are essential.
Data Engineer Job Roles in Virginia
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Search Data Engineer Jobs in VirginiaData Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for data engineers in Virginia?
Northern Virginia is home to some of the most active data engineer sponsors in the country. Amazon Web Services (Herndon and Arlington), Capital One (McLean), Booz Allen Hamilton, Leidos, SAIC, and General Dynamics IT regularly file H-1B visa petitions for data engineering roles. Consulting firms like Deloitte and Accenture Federal Services, both with large Virginia offices, also sponsor data engineers with consistent frequency.
Which visa types are most common for data engineer roles in Virginia?
The H-1B is the most common visa category for data engineers in Virginia, given that data engineering qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates with a master's degree may have improved H-1B selection odds through the advanced degree exemption. Australian citizens can pursue the E-3 visa as an alternative, which has no lottery.
Which cities in Virginia have the most data engineer sponsorship jobs?
Northern Virginia dominates, with Tysons, Herndon, Reston, McLean, and Arlington collectively accounting for the large majority of data engineer sponsorship activity in the state. This concentration is driven by Amazon Web Services' headquarters presence, major federal contractors, and a dense network of cloud and cybersecurity firms. Richmond has a smaller but growing presence, particularly among financial services employers like Capital One and Atlantic Union Bank.
How to find data engineer visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data engineer roles in Virginia without manually screening each employer. You can filter by role and state to surface active openings from companies like AWS, Booz Allen, and Capital One that have verified sponsorship histories. This is significantly more efficient than searching general job boards where sponsorship status is often unlisted or unclear.
Are there any Virginia-specific considerations for data engineers seeking visa sponsorship?
Virginia's high concentration of federal contractors introduces a meaningful complication: many roles require security clearances, which are generally only available to U.S. citizens or permanent residents. This narrows the pool of sponsoring employers for visa holders, even though overall hiring volume is high. Candidates on work visas should prioritize commercial tech employers and non-cleared contractor divisions. Virginia's strong computer science programs at Virginia Tech and George Mason University also feed a competitive local pipeline.
What is the prevailing wage for sponsored data 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.