1

Data Engineering Jobs in Virginia (NOW HIRING)

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 ...

Data Engineer

Mclean, VA · On-site

$115.70K - $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 ...

Data Engineer, Sr.

Reston, VA · On-site

$119.10K - $143K/yr

Lead and contribute to all aspects of data engineering activities within the software development life cycle, including the development of applicable technical documentation * Lead and participate in ...

Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance Required: Active Secret Guidehouse seeks a Data Engineer to support the Department of Defense (DoD) by designing ...

Data Engineer

Mclean, VA · On-site

$85K - $141K/yr

Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance Required: Active Secret Guidehouse seeks a Data Engineer to support the Department of Defense (DoD) by designing ...

Cleared Data Engineer

Arlington, VA · On-site

$131.90K - $158.40K/yr

... engineering tools such as ElasticSearch and NiFi • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM ...

Data Engineer

Reston, VA

$119.10K - $143K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Data Engineer

Falls Church, VA · On-site

$122.10K - $146.70K/yr

Work collaboratively within a growing engineering team to build and sustain scalable, secure, and resilient technical solutions that support DHA's enterprise data strategy. * Partner with technical ...

Chief Data Engineer

Chantilly, VA · On-site

$117.20K - $140.80K/yr

The ideal candidate will have a strong background in data engineering and integration, with a focus on normalizing data from diverse sources for advanced analytical methodologies. The Data Engineer ...

Data Engineer

Falls Church, VA · On-site

$122.10K - $146.70K/yr

Work collaboratively within a growing engineering team to build and sustain scalable, secure, and resilient technical solutions that support DHA's enterprise data strategy. * Partner with technical ...

Data Engineer

Reston, VA · On-site

$119.10K - $143K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Data Engineer

Arlington, VA · On-site

$131.90K - $158.40K/yr

... engineering activities, organizing data from disparate sources to yield pivotal insights. Responsibilities : • help our clients find answers in their data to impact important missions from fraud ...

Palantir Data Engineer

Chantilly, VA · On-site

$118.30K - $142.10K/yr

... engineering activities involving data of varying types and in varying conditions. Qualifications : Required : • 4 to 7+ years of experience with all of the following: • Python • TypeScript • ...

Implement and maintain cloud-native data engineering solutions in environments such as AWS, Azure, or GCP . * Collaborate with engineers, analysts, data scientists, and other stakeholders to support ...

next page

Showing results 1-20

Data Engineering information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data engineering jobs pay per year?

As of May 30, 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 is a Data Engineering job?

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.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

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 typical daily responsibilities of a Data Engineer?

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 are the most commonly searched types of Data Engineering jobs in Virginia? The most popular types of Data Engineering jobs in Virginia 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:
Infographic showing various Data Engineering job openings in Virginia as of May 2026, with employment types broken down into 7% Internship, 73% Full Time, 7% Temporary, and 13% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

$113K - $188K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

38th of 57 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


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:

  • US Citizenship is required
  • Bachelor's degree is required
  • Minimum FIVE (5) years of experience in data engineering, software development, or related roles.
  • Proficient experience with: Programming languages (Java, Python, SQL, Pyspark); Data pipeline and ETL development; Database technologies (Oracle, MySQL, Postgres, SQL Server, MongoDB); Data modeling, stored procedures, and API development (RESTful, SOAP)
  • Demonstrated experience with: Cloud platforms: AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions); Containerization and orchestration (Docker, Kubernetes); CI/CD tools (Jenkins, Maven, Git, Bitbucket, GitHub); Monitoring and logging tools (Splunk, CloudWatch, Kibana, Elasticsearch)
  • Effectively operate using Agile methodologies.
  • Ability to work in fast-paced environment independently
  • Strong analytical, troubleshooting, and communication skills, including communicate complex technical concepts in salient terms to diverse audience types

What Would Be Nice To Have:
  • Experience supporting federal programs and/or large-scale data modernization projects.
  • Certifications in AWS, Azure, 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
#LI-DNIThe annual salary range for this position is $113,000.00-$188,000.00. 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.


What Guidehouse employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom