1

Data Engineer Relocation Jobs in Virginia (NOW HIRING)

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

Data Engineer The Data Scientist supports advanced analytics and data-driven decision-making for ... Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term ...

Data Engineer The Data Scientist supports advanced analytics and data-driven decision-making for ... Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term ...

JOB ID 12231: Data Engineer

Ashburn, VA · On-site

$175K - $178K/yr

Data Engineer Meritore Technologies LLC, an Ashburn, VA based IT Solution, Services and Product ... Travel and relocation to various unanticipated client locations throughout the United States may be ...

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... No relocation assistance provided for this position. NO PHONE CALLS PLEASE. About Team Velocity ...

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $180K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... No relocation assistance provided for this position. NO PHONE CALLS PLEASE. About Team Velocity ...

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

BasisPath is seeking a highly motivated Senior Data Engineer to support mission-critical data ... We provide a comprehensive benefits package including signing bonuses, relocation assistance ...

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

About the role As a Senior Data Engineer at Range, you'll be the technical owner of Range's data ... If you're not currently based in the area, but love what you see, let's discuss relocation as part ...

Data Engineer The Data Scientist supports advanced analytics and data-driven decision-making for ... Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term ...

next page

Showing results 1-20

Data Engineer Relocation information

What are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is a data engineer relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.
What are popular job titles related to Data Engineer Relocation jobs in Virginia? For Data Engineer Relocation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Engineer Relocation jobs in Virginia look for? The top searched job categories for Data Engineer Relocation jobs in Virginia are:
What cities in Virginia are hiring for Data Engineer Relocation jobs? Cities in Virginia with the most Data Engineer Relocation job openings:
Infographic showing various Data Engineer Relocation job openings in Virginia as of June 2026, with employment types broken down into 81% Full Time, 9% Part Time, and 10% Contract. Highlights an 87% In-person, 6% Hybrid, and 7% Remote job distribution.

Data Engineer

KBR, Inc.

Chantilly, VA • On-site

$150K - $181K/yr

Full-time

Re-posted 3 days ago


KBR rating

8.3

Company rating: 8.3 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

141st of 447 rated engineering


Job description

Title:
Data Engineer
The Data Scientist supports advanced analytics and data-driven decision-making for Space and Counterspace intelligence missions. This role focuses on developing models, algorithms, and analytical tools to extract insights from large, complex, and multi-source datasets related to space domain awareness and adversary capabilities. The position involves working with both structured and unstructured data to identify patterns, anomalies, and emerging threats. The Data Scientist collaborates with analysts, engineers, and mission partners to translate intelligence questions into scalable analytic solutions. This role operates in a classified environment supporting national security objectives with cutting-edge data science techniques.
Roles and Responsibilities
  • Develop and implement statistical models, machine learning algorithms, and data analysis workflows to support mission objectives
  • Analyze large, complex datasets from multiple intelligence sources to identify trends, anomalies, and actionable insights
  • Build and maintain data pipelines, data transformation processes, and analytic tools
  • Support integration of disparate data systems to enable comprehensive analysis across domains
  • Develop visualizations, dashboards, and reporting tools to communicate analytic findings
  • Apply data mining, predictive analytics, and pattern recognition techniques to space and counterspace problems
  • Collaborate with engineers and analysts to refine requirements and operationalize data science solutions
  • Document methodologies, models, and processes for reproducibility and mission continuity
  • Ensure compliance with security, data governance, and classified environment requirements
  • Perform code review and software quality testing
  • Review and utilize RESTful APIs for data access
  • Apply software design patterns, code review practices, and unit/integration testing
  • Build and maintain CI/CD pipelines for data infrastructure
  • Contribute to infrastructure-as-code (Terraform, Ansible)

Basic Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered)
  • Proficiency in programming languages such as Python or R
  • Experience with data analysis libraries and tools (e.g., Pandas, NumPy, SciPy, or similar)
  • Active Top Secret/SCI security clearance With Polygraph
  • Strong software development background (Python, R, Java)
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Familiarity with software development lifecycle (SDLC) practices
  • API design and development experience
  • Test-driven development or equivalent quality practices

Preferred Qualifications
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn)
  • Familiarity with big data platforms and tools (e.g., Hadoop, Spark, or distributed computing environments)
  • Exposure to geospatial analytics, space domain awareness, or intelligence-related datasets
  • Astrodynamics or orbital mechanics familiarity (or experience with STK)
  • Time-series analysis
  • NLP/text analytics
  • Cloud platforms (AWS GovCloud)
  • Containerization (Docker, Kubernetes)
  • CI/CD and DevSecOps experience
  • Experience with IC data environments or tools
  • Experience transitioning prototype models to operational production pipelines

Basic Compensation:
$$150,000 - $181,000
The offered rate will be based on the selected candidate's knowledge, skills, abilities, and/or experience and in consideration of internal parity.
Additional Compensation:
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels per internal policy or contractual designation. Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance
Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

What KBR employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


KBR logo

About KBR

Sourced by ZipRecruiter

At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1998