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Data Infrastructure Internship Jobs in Virginia (NOW HIRING)

Contribute to infrastructure-as-code (Terraform, Ansible) Basic Qualifications * Bachelor's degree ... internships may be considered) * Proficiency in programming languages such as Python or R

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

Contribute to infrastructure-as-code (Terraform, Ansible) Basic Qualifications * Bachelor's degree ... internships may be considered) * Proficiency in programming languages such as Python or R

Contribute to infrastructure-as-code (Terraform, Ansible) Basic Qualifications * Bachelor's degree ... internships may be considered) * Proficiency in programming languages such as Python or R

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

... infrastructure through innovation and expertise. We don't just deploy tools; we engineer mission ... internship, lab, or academic project experience considered) * Scripting ability in Python (or a ...

Junior Back-End/DevOps Developer

VA · Remote

$75K - $156K/yr

Req ID: 383141 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... cloud-based infrastructure, and automated deployment pipelines. This position is ideal for ...

New

You will work closely with both office staff and production floor teams to manage infrastructure ... internships or less formal experience considered). * Proficiency with ASP and related web ...

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Data Infrastructure Internship information

What is the difference between Data Infrastructure Internship vs Data Engineer?

AspectData Infrastructure InternshipData Engineer
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields; often requires professional experience
Work EnvironmentInternship setting, often in tech companies or data-driven organizations, with mentorshipFull-time professional role, involved in designing, building, and maintaining data systems
Employer & Industry UsageUsed by companies hiring interns to support data infrastructure projectsUsed by organizations to develop scalable data pipelines and infrastructure

The Data Infrastructure Internship is an entry-level position aimed at students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for developing and maintaining data systems. Internships provide foundational exposure, while Data Engineers handle complex, ongoing data infrastructure tasks.

What are the most commonly searched types of Data Infrastructure jobs in Virginia? The most popular types of Data Infrastructure jobs in Virginia are:
What cities in Virginia are hiring for Data Infrastructure Internship jobs? Cities in Virginia with the most Data Infrastructure Internship job openings:
Data Engineer

$150K - $181K/yr

Full-time

Posted 16 days ago


KBR rating

8.3

Company rating: 8.3 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

136th of 442 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.


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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