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Data Engineering Jobs in Virginia (NOW HIRING)

Guidehouse

Data Engineer

Mclean, VA · On-site

$102K - $170K/yr

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS ...

NasTech Global, Inc.

Data Engineer

Alexandria, VA · On-site

$122K - $146K/yr

Contract W2 Clearance: with Active Secret Clearance Top Skills 5+ years of experience in data engineering, application development, data science, or related technical field 3+ years of experience ...

ASM Research

Data Engineer Senior

Fairfax, VA · On-site

$116K - $140K/yr

Typically 5-8 years of experience in data engineering or closely related roles, including hands-on work with distributed data processing, data modeling, and ETL/ELT implementation. * Demonstrated ...

Accenture Federal Services

Data Engineer

Arlington, VA

$131K - $158K/yr

Collaborate with data scientists and analysts to understand data requirements, work with security teams to implement data protection measures, and stay current with data engineering technologies and ...

Nastech Global

Data Engineer

Alexandria, VA · On-site

$122K - $147K/yr

US Citizen with Active Secret Clearance Top Skills * 5+ years of experience in data engineering, application development, data science, or related technical field * 3+ years of experience designing ...

IT America Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Strong experience in Data Engineering with hands-on development of ETL/ELT workflows. * Expertise in Python, SQL, and Spark (PySpark/Scala). * Proficiency in AWS Cloud Services (S3, Redshift, EMR ...

Cape Fox SS

Data Engineer

Fort Belvoir, VA · On-site

$185K - $220K/yr

Top Secret with SCI eligibility and CI polygraph 8+ years in data engineering/database administration. Key duties: Design/optimize database structures and build scalable data pipelines and ...

Bespoke Technologies, Inc

Enterprise Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes. Key Responsibilities: * Write robust and efficient Python and SQL scripts to automate ...

GRVTY

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

GRVTY is a company that provides tactical data engineering solutions, embedding skilled professionals into intelligence analyst groups. They are seeking a Data Engineer to develop tools and services ...

The Josef Group

Enterprise Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes. Key Responsibilities: · Write robust and efficient Python and SQL scripts to automate ...

Bloomberg Industry Group

Data Engineer

Arlington, VA · On-site

$110K - $130K/yr

As the Commercial Data Engineering team, we are responsible for creating the building blocks that allows us to drive analytics throughout the organization to improve our products, engage better with ...

Bloomberg Industry Group

Data Engineer

Arlington, VA · On-site

$110K - $130K/yr

As the Commercial Data Engineering team, we are responsible for creating the building blocks that allows us to drive analytics throughout the organization to improve our products, engage better with ...

Woodgrove Solutions LLC

Data Engineer

Vienna, VA · On-site

$90K - $170K/yr

Woodgrove Solutions, LLC (Woodgrove) is leading-edge Management and Technology Services firm providing data engineering, analytics, and advisory services to both the Corporate and Federal sectors.

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Showing results 41-60

All JobsData Engineering JobsData Engineering Jobs in Virginia

Data Engineering information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data engineering jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data engineering in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Virginia? The most popular types of Data Engineering jobs in Virginia are:
What are popular job titles related to Data Engineering jobs in Virginia? For Data Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Virginia look for? The top searched job categories for Data Engineering jobs in Virginia are:
What cities in Virginia are hiring for Data Engineering jobs? Cities in Virginia with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Data Engineer

Guidehouse

Mclean, VA • On-site

$102K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 20 days ago

Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd of 72 rated business consultants

Job description

Job Family:

Data Science Consulting


Travel Required:

None


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:
Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience with modern data engineering tools, cloud services, CI/CD, and version control, and will collaborate with cross-functional teams to deliver high-quality, scalable data solutions.

  • Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources.

  • Build and optimize data architectures and models to support analytics, reporting, and operational needs.

  • Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git.

  • Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions), and containerization (Docker, Kubernetes).

  • Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.

  • Ensure data quality, integrity, and security through rigorous validation, monitoring, and logging (e.g., Splunk, CloudWatch, Kibana).

  • Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption.

  • Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.

  • Document data flows, processes, and technical solutions for knowledge sharing and compliance.

  • Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.


What You Will Need:

  • U.S. Citizenship/ Green Card is required.

  • A bachelor's degree is required.

  • Minimum of EIGHT (8) years of experience in data engineering, software development, or related roles.

  • Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).

  • Strong hands-on experience designing and developing data pipelines and ETL processes.

  • Extensive experience with relational and NoSQL databases, such as Oracle, MySQL, PostgreSQL, SQL Server, and MongoDB, including data modeling and stored procedure development.

  • Demonstrated experience with AWS cloud services, including S3, Redshift, Lambda, ECS, and SQS.

  • Experience working with Databricks and large-scale data processing environments.

  • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes.

  • Experience with CI/CD tools and pipelines, such as Jenkins, Maven, Git, GitHub, and Bitbucket.

  • Hands-on experience with monitoring and logging tools, including Splunk, CloudWatch, Kibana, and Elasticsearch.

  • Proven experience operating in Agile development environments.

  • Familiarity with version control and collaboration tools, including Git, Jira, and Confluence.

  • Ability to work independently in a fast-paced environment.

  • Strong analytical and troubleshooting skills.

  • Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences.


What Would Be Nice To Have:

  • Experience supporting federal programs and/or large-scale data modernization projects.

  • Certifications in AWS, or other cloud/data engineering domains.

  • Experience with data visualization tools (e.g., Kibana, Tableau).

  • Familiarity with security best practices and compliance in federal environments.

  • Experience with microservices, Spring Boot, and integration of AI/ML components.

  • Previous consulting experience

The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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