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Internship Startup Data Engineer Jobs in Virginia

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

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 ...

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

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 ...

Lead Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer

Richmond, VA

$113K - $136K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer

Richmond, VA

$113K - $136K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer

Mclean, VA

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer

Mclean, VA

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... We are a fast-moving, high-performance startup. We value a diverse team and believe inclusion ...

Lead Data Engineer

Richmond, VA

$113K - $136K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Mission (Data) Engineer

Arlington, VA · On-site

$131K - $158K/yr

Mission (Data) Engineer Travel: Approximately 10% international travel required. Number of Openings ... We are a fast-moving, high-performance startup. We value a diverse team and believe inclusion ...

Lead Data Engineer

Mclean, VA

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer

Mclean, VA

$115K - $139K/yr

Lead Data Engineer EPTech's Enterprise Consumer Products team transforms customer experiences, and ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role ... Bonus program and equity in a fast-growing startup * Competitive medical, dental, and vision ...

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role ... Bonus program and equity in a fast-growing startup * Competitive medical, dental, and vision ...

Lead Data Engineer

Mclean, VA

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer

Mclean, VA

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer

Mclean, VA

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

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Internship Startup Data Engineer information

What is the difference between Internship Startup Data Engineer vs Junior Data Analyst?

AspectInternship Startup Data EngineerJunior Data Analyst
Required CredentialsBasic programming, SQL, data managementStatistical knowledge, Excel, SQL
Work EnvironmentStartup, fast-paced, hands-on projectsCorporate or startup, data reporting and analysis
Employer & Industry UsageTech startups, data-driven companiesVarious industries, marketing, finance, retail
Search & Comparison IntentLearning, entry-level experience, internship opportunitiesData analysis skills, entry-level roles

Internship Startup Data Engineers focus on building data pipelines and managing data infrastructure, often requiring basic programming and SQL skills. Junior Data Analysts primarily analyze data, generate reports, and interpret results. Both roles are entry-level but differ in technical focus and daily tasks, with internships offering hands-on experience in startup environments and analyst roles emphasizing data interpretation.

What does an internship startup data engineer do?

An Internship Startup Data Engineer assists in building and maintaining data pipelines and architectures that help startups collect, process, and analyze data. They often work closely with engineers and data scientists to ensure data is accessible and reliable for business needs. Responsibilities may include cleaning and transforming raw data, working with databases, and helping implement data solutions in cloud environments. Interns are expected to learn quickly, adapt to fast-paced changes, and contribute to projects that impact the startup’s growth.

What types of projects and responsibilities can I expect as an internship startup data engineer?

As an Internship Startup Data Engineer, you'll typically work on a variety of hands-on projects such as building data pipelines, cleaning and transforming raw data, and assisting with setting up databases or cloud data solutions. You may collaborate closely with software engineers, data scientists, and product managers to support analytics initiatives or improve data infrastructure. Startups often provide interns with opportunities to take ownership of smaller projects and contribute directly to core products, offering valuable exposure to the full lifecycle of data engineering tasks. Expect a fast-paced environment where adaptability and proactive learning are highly valued.

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

To excel as an Internship Startup Data Engineer, you typically need a background in computer science, statistics, or a related field, along with foundational knowledge in data structures and algorithms. Familiarity with programming languages like Python or SQL, experience with data processing frameworks (such as Pandas or Spark), and version control tools like Git are commonly required. Strong problem-solving abilities, adaptability, and effective communication skills will help you stand out in a dynamic startup environment. These skills are essential for efficiently managing and analyzing data to support rapid product development and informed decision-making in a fast-paced setting.
What are the most commonly searched types of Startup Data Engineer jobs in Virginia? The most popular types of Startup Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Internship Startup Data Engineer jobs? Cities in Virginia with the most Internship Startup Data Engineer job openings:
Infographic showing various Internship Startup Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 10% Internship, 55% Full Time, 14% Part Time, and 21% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution.

Data Engineer

KBR

Chantilly, VA • On-site

$150K - $181K/yr

Full-time

Re-posted 27 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 440 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

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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