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New Grad Data Engineer Jobs in Virginia (NOW HIRING)

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Demonstrate a strong willingness to learn new technologies, adapt to evolving requirements, share ...

Snowrelic Inc

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Monitor systems and application health using observability tools such as New Relic or Splunk ... Apply best practices in cloud data engineering, including security and compliance standards.

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Demonstrate a strong willingness to learn new technologies, adapt to evolving requirements, share ...

Cornerstone Defense

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions. Activities include the following tasks: Movement of structure ...

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to ...

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Job Title: Data Engineer Location: Sterling, VA Clearance: TS/SCI Poly **This position is ... environment to new technology * Recommend and plan server/ cloud compute/storage resource ...

Nwis

Data Engineer

Sterling, VA

$122K - $253K/yr

Data Engineer Location:Sterling, VA Clearance:TS/SCI Poly **This position is CONTINGENT upon ... environment to new technology * Recommend and plan server/ cloud compute/storage resource ...

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ... New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland

MANTECH

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Developing custom solutions or code to ingest and exploit new and existing data sources.

MANTECH

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Developing custom solutions or code to ingest and exploit new and existing data sources.

MANTECH

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Developing custom solutions or code to ingest and exploit new and existing data sources.

GRVTY

Data Engineer

Chantilly, VA · On-site

$150K - $200K/yr

We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to ...

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

... environment to new technology • Recommend and plan server/ cloud compute/storage resource ... Azure Data Engineer Associate • Google Cloud Certified Professional Cloud Data Engineer • IBM ...

MANTECH

Data Engineer

Chantilly, VA

$117K - $140K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Developing custom solutions or code to ingest and exploit new and existing data sources.

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$150K - $200K/yr

We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... new data and more consistent analytics/AI consumption and creating reduced manual effort through ...

Entarian

Data Engineer

Yorktown, VA

$101K - $121K/yr

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and ... Develop and maintain scalable data pipelines and build out new API integrations, ensure that data ...

Dlapiper

Data Engineer

Reston, VA

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... new data and more consistent analytics/AI consumption and creating reduced manual effort through ...

Bixal

Data Engineer

Fairfax, VA · On-site +1

$130K - $135K/yr

Evaluation of new technologies and approaches, presenting proof of concepts and technical roadmaps ... Proficiency in Python for data engineering tasks at scale. * Deep expertise with Databricks ...

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Showing results 1-20

All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in Virginia

New Grad Data Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do new grad data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for new grad 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 New Grad Data Engineer position, and why are they important?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does the typical day look like for a New Grad Data Engineer?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What is a New Grad Data Engineer job?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What are popular job titles related to New Grad Data Engineer jobs in Virginia? For New Grad Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching New Grad Data Engineer jobs in Virginia look for? The top searched job categories for New Grad Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for New Grad Data Engineer jobs? Cities in Virginia with the most New Grad Data Engineer job openings:
New Grad Data Engineer jobs near you
Infographic showing various New Grad Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,604 per year, or $61.8 per hour.
Data Engineer

Data Engineer

Elder Research

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Re-posted 14 hours ago

Job description

Data Engineer
General Information
Requisition # 675
Locations USA-VA-Arlington
Posting Date 03/04/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area.
As a Data Engineer, you will support the Internal Revenue Service's mission to combat tax fraud, identity theft, and non-compliance by designing and delivering secure, scalable, and automated data pipelines that power advanced analytics, machine learning models, and decision-support tools. You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions.
Your work will enable fraud detection, audit prioritization, refund review, and compliance risk analysis across large, sensitive tax and financial datasets. This role sits within an analytics-focused business unit supporting IRS enforcement, compliance, and research initiatives, partnering closely with data science and analytics teams to ensure data products are production-ready, trustworthy, and mission-aligned.
Responsibilities include but are not limited to:
  • Troubleshoot and resolve complex data and system issues across cross-functional and mission-critical environments with minimal supervision
  • Engineer solutions that integrate diverse data types, including transactional, financial, and textual data, to support compliance and fraud analytics
  • Collaborate with data scientists and stakeholders to deploy analytics applications, dashboards, and decision-support tools
  • Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages using collaborative development practices
  • Build and maintain secure, scalable data pipelines and end-to-end systems, including operation within air-gapped or restricted government environments
  • Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ongoing support
  • Produce technical documentation and deliver briefings or presentations to technical and non-technical audiences
  • Act as a technical consultant, translating business, compliance, and enforcement needs into effective data solutions

Minimum Qualifications:
  • 2-7+ years of experience in data science, analytics, or a related technical field, with prior programming experience, preferably in Python
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
  • Design, build, and deploy robust, repeatable, and automated data pipelines using Python and SQL to transform raw data into analytics and ML-ready datasets
  • Engineer data pipelines that support fraud detection, compliance analytics, and predictive risk modeling across structured and unstructured data sources in Databricks
  • Develop and maintain end-to-end machine learning data workflows across on-premises and cloud environments, integrating backend systems with analytics platforms and user-facing applications
  • Partner closely with data scientists, analysts, product managers, and government stakeholders to align data engineering solutions with IRS mission objectives, and translate client and stakeholder requirements into clear, actionable technical designs and implementation plans
  • Modernize and optimize data and ML workflows by implementing best practices for scalability, reliability, maintainability, and security, while contributing effectively within agile, fast-paced development environments supporting iterative delivery and continuous improvement
  • Demonstrate a strong willingness to learn new technologies, adapt to evolving requirements, share knowledge across teams, and travel and work on-site with clients as project needs require

Preferred Qualifications:
  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
  • Experience with version control systems (Git, SVN, Mercurial) and collaborative programming practices (pair programming, code reviews), as well as containerization and environment management (venv, conda)
  • Experience with platforms and technologies such as Databricks and AWS, including prior Databricks experience in Unity Catalog, PySpark, Spark SQL, and Jobs
  • Familiarity with vector, object, and document-based data storage systems, and experience implementing data engineering solutions in remote or austere environments, including use of bash and command-line tools
  • Experience with business intelligence and data visualization tools (Power BI, Tableau), and understanding of the data analytics lifecycle (e.g., CRISP-DM) and how engineering supports downstream analytics and ML use case

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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