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Summer Data Engineer Jobs in Virginia (NOW HIRING)

Mpr Associates, Inc.

Summer/Co-op Engineer

Alexandria, VA · On-site

$1.0K - $1.4K/wk

Asset Management and Business Operations Improvement including data analytics, automation, machine ... Aptitude to work outside of a single engineering discipline and quickly learn new concepts

KidStrong

Summer Camp Coach

Virginia Beach, VA · On-site

$14 - $16/hr

Puzzles, games, and mental challenges are incorporated into KidStrong programming. * These ... Effectively use the KS Coach's App to record class data and provide records of data for parents ...

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All JobsSummer Data Engineer JobsSummer Data Engineer Jobs in Virginia

Summer Data Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do summer data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for summer data engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

Can I become a summer data engineer in 6 months?

Becoming a summer data engineer within six months is possible if you have a strong foundation in programming, data management, and relevant tools like SQL and Python. Gaining practical experience through projects, online courses, and certifications can accelerate your readiness for such a role, but it depends on your prior knowledge and dedication.

What kinds of projects or tasks does a summer data engineer typically work on during an internship?

Summer Data Engineers are often assigned to real-world projects such as building data pipelines, cleaning and transforming datasets, and supporting analytics initiatives within their teams. They may collaborate with data scientists, software engineers, and business analysts to ensure data is accessible, reliable, and well-documented for analysis or reporting. Weekly responsibilities can include writing SQL queries, developing ETL (Extract, Transform, Load) processes, and participating in regular team meetings or code reviews. This hands-on experience provides valuable exposure to industry-standard tools and practices, helping interns build a strong foundation for future data engineering roles.

Are summer data engineers still in demand?

Summer data engineering roles remain in demand as companies continue to prioritize data infrastructure, analytics, and cloud-based tools like SQL, Python, and Spark. These positions often require strong technical skills and the ability to work with large datasets, making them valuable for organizations seeking to leverage data-driven decision-making during the summer season.

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

To thrive as a Summer Data Engineer, you need a solid understanding of programming languages (such as Python or SQL), data structures, and data processing concepts, typically supported by ongoing or completed coursework in computer science, statistics, or related fields. Familiarity with data engineering tools like Apache Spark, Hadoop, and cloud platforms (e.g., AWS or Azure) is often expected, as are internships, workshops, or relevant technical certifications. Strong problem-solving abilities, willingness to learn, effective communication skills, and teamwork help set applicants apart. These competencies enable you to efficiently support data-driven projects, collaborate with cross-functional teams, and contribute meaningfully during a short-term internship or seasonal assignment.

What is a summer data engineer?

A Summer Data Engineer is a seasonal or internship role focused on assisting data engineering teams with tasks like data pipeline development, ETL processes, and database management. This role typically involves working with programming languages such as Python or SQL, cloud platforms, and data processing frameworks. Summer Data Engineers help ensure that data is efficiently collected, stored, and accessible for analysis. The position provides hands-on experience in data infrastructure and is ideal for students or early-career professionals looking to gain industry experience.

What are the most commonly searched types of Data Engineer jobs in Virginia? The most popular types of Data Engineer jobs in Virginia are:
What are popular job titles related to Summer Data Engineer jobs in Virginia? For Summer Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Summer Data Engineer jobs in Virginia look for? The top searched job categories for Summer Data Engineer jobs in Virginia are:
Summer Data Engineer jobs near you
Infographic showing various Summer Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

Data Scientist / ML Engineer

KSA Integration

Stafford, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

Description:

KSA Integration is a Service-Disabled Veteran-Owned Small Business (SDVOSB) that provides business and management solutions through three core capabilities: (1) data analytics, (2) comprehensive veterans support, and (3) business process improvement. We are a rapidly growing government contractor that has built a reputation on focused customer service, on-time performance, and continuous improvement. To demonstrate this, KSA has been awarded the Inc. Best Workplaces, a prestigious list of businesses recognized for value placed on company culture, standout worker benefits, and the prioritization of employee well-being every year from 2019 to 2025. KSA also earned recognition on the Best for Vets List by Military Times from 2019 to 2025 and garnered the Department of Labor “Hire Vets” Platinum Medallion Award from 2021 to 2025.


Position Overview: KSA Integration is seeking a Data Scientist / ML Engineer to support the Marine Corps Logistics Plans (LP) Division’s data management, analytics, and artificial intelligence initiatives. This role directly supports Data Management & Analytics and AI Capability Development. You will design and deploy AI/ML solutions that transform how the Marine Corps manages logistics data, predicts readiness, and automates decision-making.


This Position is Contingent Upon Award


Anticipated Start Date: Summer 2026


Support Hours: Applicant shall be available during core work hours as established by the Government customer.

Benefits:

  • Medical, Dental, Vision (82% of employees’ premiums paid by the company, 25% towards dependents)
  • HSA / FSA Medical Plans
  • PTO
  • Flexible Work Environment and Encourage Work/Life Balance
  • 401K with Company Match
  • Observes all federal holidays
  • Professional Development/Tuition Reimbursement Program
  • Annual Career Development Process

Job Type: Full-time/Exempt

Location: Pentagon / National Capital Region (Hybrid)

Clearance Required: Active Secret

Travel Requirement: Approximately 10%


Position Responsibilities:

  • Design, develop, and deploy machine learning models and AI solutions for Marine Corps logistics applications.
  • Build predictive models for readiness forecasting, supply chain optimization, and maintenance planning.
  • Develop and maintain data pipelines, dashboards, and analytics platforms for enterprise logistics data.
  • Integrate AI/ML solutions into existing Marine Corps logistics systems and workflows.
  • Collaborate with government stakeholders to define data management goals and analytics strategies.
  • Conduct statistical analysis on complex datasets to identify trends, patterns, and actionable insights.
  • Support data governance frameworks, including data quality, privacy, security, and accessibility standards.
  • Develop best practices documentation for ML systems and train government users on AI tools.
  • Work within secure DoW computing environments (NIPR/SIPR).


Requirements:


  • 5+ years of experience in data science, machine learning, or AI engineering.
  • Proficiency in Python, R, or equivalent — hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks.
  • Experience building and deploying ML models in production environments.
  • Strong skills in data engineering: SQL, data pipelines, ETL processes, and cloud/on-prem data platforms.
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib, Plotly).
  • Familiarity with DoW data environments, ADVANA, or military logistics data systems a strong plus.
  • Experience with the Torch.AI Nexus platform or UNACORN analytics environment a plus.
  • Understanding of responsible AI principles, model governance, and DoW AI ethics frameworks.
  • BA/BS in Computer Science, Data Science, Statistics, Mathematics, or related field required; MS preferred.

Preferred Skills/Experience:

  • Prior work experience supporting the Marine Corps programs.

KSA Integration is an equal opportunity employer.

Apply