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Data Engineering Jobs in Virginia (NOW HIRING)

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 ...

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 ...

MasterCard

Manager, Data Engineering

Arlington, VA · Hybrid

Title and Summary Manager, Data Engineering Overview: Mastercard Services Technology is seeking a Manager, Data Engineering to lead the delivery of data solutions that power client engagements across ...

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Deloitte

Google Data Engineering Consultant

Rosslyn, VA · On-site

$130K - $156K/yr

The Data Engineer II will help design, develop, test, and deploy data pipelines, platform components, and AI-enabled solutions that are scalable, secure, and reliable. This role works with engineers ...

Deloitte

Databricks Data Engineering Manager

Rosslyn, VA · On-site

$130K - $156K/yr

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients ...

Deloitte

Databricks Data Engineering Manager

Arlington, VA · On-site

$131K - $158K/yr

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients ...

DPR Construction

Data Engineering Lead- Finance

Richmond, VA · On-site

$113K - $136K/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

$119K - $143K/yr

Required : • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent relevant experience • 5+ years of experience developing big data or data engineering solutions ...

Acuity INC

Data Engineer

Reston, VA · On-site

$119K - $143K/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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All JobsData Engineering JobsData Engineering Jobs in Virginia

Data Engineering information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data engineering jobs pay per year?

As of Jun 19, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

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.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

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 jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

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 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
Data Engineering Lead

Data Engineering Lead

Accenture Federal Services

Arlington, VA

$131K - $158K/yr

Other

Posted 16 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

46th of 428 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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