Customer Engineer Jobs in Virginia
Customer Engineer jobs in Virginia are in strong and consistent demand, concentrated in defense contracting, federal IT services, cybersecurity, and enterprise cloud infrastructure, with openings at every level from early-career field technicians through senior solution architects. The heaviest hiring runs through Northern Virginia, Richmond, and Hampton Roads, where established employers such as Leidos, General Dynamics Information Technology, and Booz Allen Hamilton maintain large technical workforces. The most sought-after specialties in Virginia right now are cloud platform engineering, networking hardware support, and DoD-adjacent systems integration. Find a role that fits below and apply directly.
Find Customer Engineer JobsOverview
Showing 5 of 14+ Customer Engineer jobs
DESCRIPTION
If so, we are looking for a Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The Strategic Customer Engagements Deal Team works with our customers on commercial private pricing opportunities to meet their desired business outcomes while ensuring alignment with AWS business objectives.
In this role, you will design and manage large-scale data systems using cloud-native approaches to scalability and automation. You will build robust pipelines, integrate new data sources, and deliver reliable data products that support analytics, machine learning, and AI-powered systems. Working closely with business intelligence engineers and product teams, you will work backwards from business questions to build solutions that meet customer needs. The role will leverage generative AI and AWS services to raise the bar on how the team consumes and acts on data, and to build the next generation of AI-enabled data platforms.
Key job responsibilities
Key Job Responsibilities
- Architect and implement scalable, reliable, and secure data pipelines for extraction, transformation, and loading from diverse data sources
- Manage AWS resources including EC2, Redshift, Glue, S3, SageMaker, App Studio, and Bedrock
- Deploy infrastructure-as-code using CDK
- Oversee production operations, including optimizing data delivery, scaling infrastructure, code deployments, bug fixes, and release management
- Design and implement data structures using best practices in data modeling to support reporting, analysis, and machine learning
- Build semantic layers and knowledge graphs enabling intelligent query routing and context-aware data access
- Develop infrastructure for agentic AI systems with multi-agent orchestration
- Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources
- Read, write, and debug data processing and orchestration code following best coding standards (e.g., version controlled, code reviewed)
BASIC QUALIFICATIONS
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 145,300.00 - 196,600.00 USD annually
USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
DESCRIPTION
If so, we are looking for a Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The Strategic Customer Engagements Deal Team works with our customers on commercial private pricing opportunities to meet their desired business outcomes while ensuring alignment with AWS business objectives.
In this role, you will design and manage large-scale data systems using cloud-native approaches to scalability and automation. You will build robust pipelines, integrate new data sources, and deliver reliable data products that support analytics, machine learning, and AI-powered systems. Working closely with business intelligence engineers and product teams, you will work backwards from business questions to build solutions that meet customer needs. The role will leverage generative AI and AWS services to raise the bar on how the team consumes and acts on data, and to build the next generation of AI-enabled data platforms.
Key job responsibilities
Key Job Responsibilities
- Architect and implement scalable, reliable, and secure data pipelines for extraction, transformation, and loading from diverse data sources
- Manage AWS resources including EC2, Redshift, Glue, S3, SageMaker, App Studio, and Bedrock
- Deploy infrastructure-as-code using CDK
- Oversee production operations, including optimizing data delivery, scaling infrastructure, code deployments, bug fixes, and release management
- Design and implement data structures using best practices in data modeling to support reporting, analysis, and machine learning
- Build semantic layers and knowledge graphs enabling intelligent query routing and context-aware data access
- Develop infrastructure for agentic AI systems with multi-agent orchestration
- Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources
- Read, write, and debug data processing and orchestration code following best coding standards (e.g., version controlled, code reviewed)
BASIC QUALIFICATIONS
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 145,300.00 - 196,600.00 USD annually
USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
See All 14 Customer Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Customer Engineer JobsCustomer Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Customer Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Manufacturing
- Technology & Software
- Retail
- Electronics & Hardware
- E-Commerce & Online Marketplaces
What Virginia Employers Look For
The qualifications that appear most often in customer engineer jobs across Virginia.
- Active security clearance or eligibility for a U.S. government security clearance
- Bachelor's degree in computer science, electrical engineering, or a related technical field
- Hands-on experience deploying and supporting enterprise hardware or cloud infrastructure
- Vendor certifications such as AWS, Cisco, or Google Cloud Professional credentials
- Demonstrated ability to troubleshoot complex systems and communicate solutions to non-technical stakeholders
- Experience working in or alongside federal government agency environments or defense programs
Customer Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a customer engineer in Virginia?
Most customer engineer roles in Virginia do not require a state-issued license, but employers consistently expect a bachelor's degree in engineering, computer science, or information technology paired with relevant vendor certifications. In Virginia's defense-heavy market, obtaining or maintaining a DoD security clearance is often a practical prerequisite. Entry candidates typically build credentials through programs at Virginia Tech, George Mason University, or community college IT pathways before applying to federal contractors or enterprise technology firms.
Which companies hire customer engineers in Virginia?
Employers hiring customer engineers in Virginia right now include Google, KLA, and PGTEK, based on current listings on Migrate Mate as of August 2026. Virginia's dense concentration of federal agencies and defense contractors means many of these employers require candidates to hold or obtain a security clearance before starting.
Which Virginia cities have the most customer engineer jobs?
Reston, McLean, and Arlington have the most customer engineer openings in Virginia. Northern Virginia dominates because of its extraordinary concentration of federal agencies, defense contractors, and data center campuses, while Richmond draws demand from financial services and state government IT programs, and Hampton Roads reflects the region's large naval and military installation footprint.
Are there remote customer engineer jobs in Virginia?
Yes, but they're less common than in purely software-focused roles because customer engineering often involves on-site hardware installation, system commissioning, or client-facing support. About 0% of customer engineer openings tied to Virginia are remote or hybrid as of August 2026, and those tend to be concentrated in pre-sales engineering, cloud solution architecture, and technical account management rather than hands-on field roles.
How can I get hired as a customer engineer in Virginia with little or no experience?
The most realistic entry path is applying to associate field technician or junior systems support roles at large Virginia defense contractors such as Leidos or GDIT, which run structured onboarding programs for candidates without direct customer engineering experience. Lateral moves from help desk, IT support specialist, or network operations roles are common stepping stones. Earning an entry-level vendor certification such as CompTIA Network+ or an AWS Cloud Practitioner credential, combined with initiating the security clearance process early, gives candidates a meaningful competitive edge in Virginia's market.
Where can I find and apply to customer engineer jobs in Virginia?
You can find and apply to customer engineer jobs in Virginia on Migrate Mate, which lists current openings across the state. Find roles that fit your experience and location and apply directly to the employers posting them.
See All 14 Customer Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Customer Engineer Jobs