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Graduate Data Engineer Jobs in Virginia (NOW HIRING)

Leidos

Senior AI Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

This program is at the forefront of deploying enterprise-scale AI, data, and mission platform ... What You Bring: * Bachelor's, Master's, or equivalent graduate degree in a quantitative or ...

Air

Data Analyst

Arlington, VA

Implementation Engineers are responsible for leveraging quantitative skills to configure Govini ... graduate roles or internships, performing national security-related analytics; preference for ...

Air

Data Analyst

Arlington, VA

Implementation Engineers are responsible for leveraging quantitative skills to configure Govini ... graduate roles or internships, performing national security-related analytics; preference for ...

Leidos

Senior Software Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

This program is at the forefront of deploying enterprise-scale AI, data, and mission platform ... What You Bring: * Bachelor's, Master's, or equivalent graduate degree in a quantitative or ...

L3HHCM20

Business Intelligence Analyst

Herndon, VA

... and data engineers on data initiatives and will deliver metrics using a combination of Microsoft ... Graduate Degree and a minimum of 4 years of prior related experience; Or, in lieu of a degree, a ...

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Graduate Data Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do graduate data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for graduate 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.

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

A Graduate Data Engineer typically requires a bachelor's degree in computer science, engineering, mathematics, or a related field, along with foundational knowledge of programming, data structures, and database concepts. Familiarity with technologies such as SQL, Python, cloud platforms (e.g., AWS, Azure), and modern data engineering tools like Apache Spark or Hadoop is often expected, and introductory certifications can provide an added advantage. Strong analytical thinking, problem-solving ability, effective communication, and eagerness to learn are valuable soft skills in this role. These skills and qualities are crucial for efficiently building, maintaining, and optimizing data pipelines that support business decision-making.

What are the typical daily tasks and responsibilities of a Graduate Data Engineer?

As a Graduate Data Engineer, your daily tasks may include building and maintaining data pipelines, assisting with data cleansing and transformation, and collaborating with data scientists and other engineers to deliver reliable datasets. You'll often work with structured and unstructured data, write scripts to automate data workflows, and help troubleshoot data integration issues as they arise. Throughout your work, you'll be expected to document processes and learn new tools or technologies as the team evolves. This role provides an excellent opportunity to develop hands-on technical skills while working closely with experienced professionals in a collaborative setting.

What is a Graduate Data Engineer job?

A Graduate Data Engineer is an entry-level role focused on designing, building, and maintaining data pipelines and infrastructure. They work with large datasets, ensuring data is collected, processed, and stored efficiently for analysis. Typically, they collaborate with data scientists, analysts, and other engineers to support data-driven decision-making. This role often involves using programming languages like Python or SQL, cloud platforms, and big data technologies. Graduate Data Engineers gain hands-on experience in data engineering principles and tools, helping organizations manage and optimize their data workflows.

What are popular job titles related to Graduate Data Engineer jobs in Virginia? For Graduate Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Graduate Data Engineer jobs in Virginia look for? The top searched job categories for Graduate Data Engineer jobs in Virginia are:
Graduate Data Engineer jobs near you
Consultant - AI & Data, Defense & Security - Campus 2026

Consultant - AI & Data, Defense & Security - Campus 2026

Guidehouse

Mclean, VA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 58 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:

Many organizations lack a clear view of their data assets, keeping the full value of their data out of reach. Guidehouse delivers end-to-end services, including designing, implementing, and deploying AI solutions and robust data platforms as well as providing advanced analytics and insights. Guidehouse's tailored solutions optimize operations, enhance customer experiences, and drive innovation.

As a Consultant, you will join Guidehouse's AI & Data team - a "horizontal" team dedicated to delivering artificial intelligence, machine learning, and advanced analytics solutions to drive innovation and deliver impactful value across Guidehouse's Public Sector client segments: Defense & Security, Communities, Energy, and Infrastructure, Financial Services, and Health. The AI & Data team has a sub-team within each segment focused on applying cutting-edge technologies and strategies to address the segment's most complex and rapidly evolving challenges across a variety of domains. You'll contribute to high-value initiatives, which may include internal innovation efforts or strategic projects, and gain hands-on experience with modern tools and methodologies. You'll collaborate with experienced professionals, grow your technical capabilities, and help shape data-driven solutions that matter.


Consultants support project teams both on client engagements (on and off-site) and internal projects. Responsibilities will include client and project management, data and information analysis, solution implementation and generation of project deliverables. As a Consultant, a key function of your role will be to support the development and creation of quality deliverables that support essential project workstreams. You will gather and analyze data, identify gaps and trends, and make recommendations related to baseline performance and structure, as well as established best practices and benchmarks.

We encourage career development and hiring for the long term. As a Consultant, you will follow a clearly defined career path and continue to deepen your specialized industry knowledge and consulting skills. As you develop project management skills and leadership abilities, you will have the opportunity to progress to the Senior Consultant level.

What You Will Need:

  • Minimum Years of Experience: 0 years

  • Minimum Degree Status: Undergraduate Degree or Graduate Degree (must be enrolled in an accredited undergraduate or graduate degree program through Fall 2025 and graduate by Summer 2026)

  • Working knowledge of programming languages such as Python, R, SQL.

  • Willingness to learn new technical skills.

  • Ability to work collaboratively with other data scientists and adjacent roles.

  • Ability to adhere to on-site work schedules in the DC metro area as directed.

  • Ability to work in the United States without sponsorship now or anytime in the future; Students possessing F-1 or J-1 visas are excluded from interview schedules or being hired for this position.

  • Ability to obtain and maintain a Public Trust, Secret, or higher level of federal/government security clearance (US Citizenship is one of the requirements for security clearance).

What Would Be Nice To Have:

  • Degree Concentration: Technical field of study relevant to AI/ML and data science, such as Computer Science, Data Science, Machine Learning, Artificial Intelligence, Information Science, Information Technology, etc.

  • Previous internship or work experience

  • Experience developing data science, predictive models, and AI solutions using tools such as Python or R.

  • Experience performing data engineering and data wrangling using tools such as Python.

  • Experience performing data visualization using tools such as Power BI or Tableau.

  • Strong communication and presentation skills for both technical and non-technical audiences.

  • Ability to write technical process flows, diagrams, and model documentation.


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.

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