Data Infrastructure Engineer Jobs in Virginia
Data Infrastructure Engineer jobs in Virginia are in strong demand, concentrated in federal defense contracting, cybersecurity, financial services, and cloud computing, with openings at every level from entry-level data operations roles through senior principal engineers. The heaviest hiring is in Northern Virginia, Richmond, and the Hampton Roads area, where employers like Leidos, Booz Allen Hamilton, and Capital One maintain large engineering operations. The most sought-after specialties in Virginia are distributed systems, cloud-native pipeline architecture, and data platform reliability. Find a role that fits below and apply directly.
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Job description
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Government and Infrastructure – AI & Data Senior Analyst – Top Secret Clearance
From strategy to execution, the Government and Infrastructure practice of Ernst & Young provides a full range of consulting and audit services to help our Federal, State, Local and Education clients implement new ideas to help achieve their mission outcomes. We deliver real change and measurable results through our diverse, high-performing teams, quality work at the highest professional standards, operational know-how from across our global organization, and creative and bold ideas that drive innovation. We enable our government clients to achieve their mission of protecting the nation and serving the people; increasing public safety; improving healthcare for our military, veterans, and citizens; delivering essential public services; and helping those in need. EY is ready to help our government build a better working world.
EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals.
- Strong data analytics expertise with emerging AI capabilities
- Understanding of generative AI models (openAI, Anthropic, open-source LLMs) into web-based products
- Experience implementing practical AI use cases that improve analyst productivity and decision-making
- Experience writing tests, participating in code reviews
- Seeking out information to learn about emerging methodologies and technologies
- Clarifying problems by driving to understand the true issue
- Looking for opportunities for improving methods and outcomes
- Collaborating, influencing, and building consensus through constructive relationships and effective listening
- Solving problems by incorporating data into decision making
- Bachelor's degree
- Top Secret clearance
- 3-5+ years of related experience
- Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
- Experience with vector databases (Pinecone, Weaviate) and AI inference optimizations
- Experience with open-source AI and web projects
- Experience with RAG or fine-tuning models
- Communication is essential, must be able to listen and understand the question and develop and deliver clear insights
What we offer you
At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is:
- New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $128,400 to $192,500
- Bay Area California offices – $133,600 to $200,600
- All other offices locations in the US, including Sacramento – $106,900 to $176,500
- Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
- To make the most of your application experience, please limit yourself to two applications within a six-month period.
- EY accepts applications for this position on an on-going basis.
- For those living in California, please click here for additional information.
- At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
All in to shape the future with confidence.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
See All 25 Data Infrastructure Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find JobsData Infrastructure Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Data Infrastructure Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Cybersecurity
- Technology & Software
What Virginia Employers Look For
The qualifications that appear most often in data infrastructure engineer jobs across Virginia.
- Bachelor's degree in computer science, information systems, or a closely related engineering field
- Hands-on experience designing and maintaining large-scale data pipelines or distributed storage systems
- Proficiency with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
- Experience with orchestration tools including Apache Kafka, Apache Spark, or Airflow
- Active or obtainable security clearance for roles with Virginia's federal contracting employers
- Familiarity with infrastructure-as-code tools such as Terraform or Ansible in production environments
Data Infrastructure Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a data infrastructure engineer in Virginia?
Virginia does not require a state-issued license to work as a data infrastructure engineer. The standard path is a bachelor's degree in computer science, information systems, or electrical engineering, followed by hands-on experience with data platforms and cloud environments. Many Virginia employers, particularly federal contractors, expect candidates to hold or qualify for a security clearance, so a clean background and U.S. citizenship are practical prerequisites in a large share of postings. Industry certifications from AWS, Google Cloud, or Microsoft Azure strengthen candidacy significantly.
How much do data infrastructure engineers make in Virginia?
Data infrastructure engineers in Virginia earn a median of about $160,360 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $105,210 for the lowest 10% to over $210,160 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data infrastructure engineers in Virginia?
Employers hiring data infrastructure engineers in Virginia right now include EY, Amazon, and Meta, based on current listings on Migrate Mate as of November 2026. Virginia's concentration of federal agencies and defense contractors means a large portion of these openings sit within cleared or clearance-eligible programs, particularly in the Northern Virginia corridor.
Which Virginia cities have the most data infrastructure engineer jobs?
McLean, Herndon, and Ashburn account for the largest share of data infrastructure engineer openings in Virginia. Northern Virginia's density of federal agencies, cloud data centers, and defense contractors drives the volume there, while Richmond's growing financial technology and healthcare IT sectors support consistent demand, and Hampton Roads benefits from Navy and DoD-linked infrastructure programs that require dedicated data engineering support.
Are there remote data infrastructure engineer jobs in Virginia?
Yes, and more than most fields. About 67% of data infrastructure engineer openings tied to Virginia are remote or hybrid as of November 2026, reflecting how much of the work centers on cloud platforms and automated pipelines rather than on-site hardware. The pipeline development, platform monitoring, and orchestration-layer portions of the role transfer most readily to remote arrangements, while roles tied to classified government networks typically require on-site presence.
How can I get hired as a data infrastructure engineer in Virginia with little or no experience?
The most realistic entry path is a data engineering associate or junior data operations role, which large Virginia employers such as Booz Allen Hamilton, Leidos, and Capital One post regularly for candidates coming out of computer science or information systems programs. Many federal contractors in Northern Virginia offer rotational technology programs for new graduates. Building a portfolio that demonstrates a working ETL pipeline, cloud storage configuration, or containerized data service on a public repository gives candidates a concrete advantage, as does earning an entry-level cloud certification before applying.
Where can I find and apply to data infrastructure engineer jobs in Virginia?
You can find and apply to data infrastructure engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings across industries and experience levels. Find the roles that fit your background and apply directly to the ones that match.
See All 25 Data Infrastructure Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
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