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Data Engineering Jobs in Virginia (NOW HIRING)

Accenture Federal Services

Data Engineering Lead

Arlington, VA · On-site

$131.70K - $158.20K/yr

The Data Engineer will design, build, and maintain the core client data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. Develop and operate ...

Dollartree

Manager, Data Engineering

Chesapeake, VA · On-site

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be handson. This leader will help transform how Family Dollar leverages internal & external ...

Dollar Tree

Manager, Data Engineering

Chesapeake, VA · On-site

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be hands-on. This leader will help transform how Family Dollar leverages internal & external ...

DPR Construction

Data Engineering Lead- Finance

Richmond, VA

$113.30K - $136.10K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Acuity INC

Data Engineer

Reston, VA · On-site

$119.30K - $143.30K/yr

Support cloud-based data engineering solutions in AWS , including storage and data service integration * Collaborate with engineers, architects, analysts, and stakeholders to implement technical ...

Acuity INC

Data Engineer

Reston, VA

$119.30K - $143.30K/yr

Support cloud-based data engineering solutions in AWS , including storage and data service integration * Collaborate with engineers, architects, analysts, and stakeholders to implement technical ...

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Data Engineering information

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$45.6K

$163.6K

$241.4K

How much do data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for data engineering in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.
More about Data Engineering jobs
What are the most commonly searched types of Data Engineering jobs in Virginia? The most popular types of Data Engineering jobs in Virginia are:
What are popular job titles related to Data Engineering jobs in Virginia? For Data Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Virginia look for? The top searched job categories for Data Engineering jobs in Virginia are:
What cities in Virginia are hiring for Data Engineering jobs? Cities in Virginia with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Virginia as of May 2026, with employment types broken down into 7% Internship, 73% Full Time, 7% Temporary, and 13% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.
Data Engineering Lead

Data Engineering Lead

Accenture Federal Services

Arlington, VA • On-site

$131.70K - $158.20K/yr

Other

Posted 25 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

47th of 424 rated business services

Job description

Job Description

The Data Engineer will design, build, and maintain the core client data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. Develop and operate automated, end-to-end data pipelines, create and maintain data models and schemas, and contribute to the overall scalability, reliability, and security of the data platform. Implement data processing frameworks and technologies, design and optimize data storage solutions, and develop data transformation logic to support analytics requirements. Implement data quality checks and validation procedures, establish data lineage tracking mechanisms, and troubleshoot data pipeline issues. Collaborate with data scientists and analysts to understand data requirements, work with security teams to implement data protection measures, and stay current with data engineering technologies and best practices. Document data architecture and pipelines, participate in data governance activities, and contribute to continuous improvement of data engineering processes.

Must have:

  • 8 years of experience in data engineering, data pipeline design, and management
  • Must meet DoD 8140 requirements
  • Bachelor's degree (or 4 years of additional equivalent experience) in IT, Cybersecurity, Computer Science, Information Systems, Data Science, Software Engineering

Security Clearance:

  • Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position 

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