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Data Engineering Jobs in Virginia (NOW HIRING)

Senior Principal, Data Engineering

Arlington, VA ยท On-site

$144K - $199K/yr

Title and Summary Senior Principal, Data Engineering Overview: Mastercard Services Technology is seeking a Senior Principal Data Engineer to help drive our mission of unlocking the full potential of ...

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions. Responsibilities: * Design and develop data ...

Data Engineer

Herndon, VA

$117K - $141K/yr

You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions. Responsibilities: * Design and develop data ...

Data Engineer Journeyman

Fairfax, VA ยท On-site

$116K - $140K/yr

Apply secure data engineering practices, including encryption, role-based access controls, and adherence to government data standards and policies in a highly regulated environment. * Automate CI/CD ...

DATA ENGINEER

Virginia Beach, VA ยท On-site

$101K - $121K/yr

Maintain technical documentation Required Qualifications * 2-3 years of experience in data engineering or analytics * Strong SQL skills * Basic Python knowledge * Understanding of ETL concepts

Senior Manager, Data Engineering

Richmond, VA ยท On-site +1

$140K - $155K/yr

Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI developers -Establishdelivery standards, performance expectations, and career development ...

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

What Impact You'll Have GRVTY provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Data Engineer

Chantilly, VA ยท On-site

$117K - $140K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Data Engineer

Chantilly, VA ยท On-site

$117K - $140K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Showing results 21-40

Data Engineering information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data engineering jobs pay per year?

As of Aug 6, 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 does a data engineer do?

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 is data engineering?

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

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:
Infographic showing various Data Engineering job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Data Engineer with Security Clearance

Data Machines

Reston, VA โ€ข On-site

$119K - $143K/yr

Other

Re-posted 15 days ago


Job description

Location: Reston, VA Clearance Requirement: TS w/ SCI Eligibility Salary Range: $80,000-$230,000+ Job Description and Responsibilities: Come join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world, critical mission problems. Data Machines is looking for a motivated and detail-oriented Data Engineer to join our growing Data Engineering team. This is an exciting opportunity for someone early in their career to gain hands-on experience with modern data technologies, contribute to the development of data pipelines, and help drive data-driven decision-making across the organization. This position is full-time on site in Reston, VA. Key Responsibilities: * Assist in the design, development, and maintenance of scalable data pipelines and ETL processes
* Work with structured and unstructured data from various sources to ingest, clean, transform, and store in appropriate formats
* Support the creation and optimization of data models in data warehouses (e.g., Postgres)
* Monitor data pipeline performance and troubleshoot issues as needed
* Collaborate with data analysts, data scientists, and software engineers to understand data needs
* Ensure data quality, integrity, and consistency across all data systems
* Maintain documentation for data processes and pipelines
* Learn and adapt to new tools, technologies, and best practices in data engineering
Minimum Qualifications: * Active TS Clearance with SCI Eligibility
* Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
* Proficiency in SQL and at least one programming language (e.g., Python)
* Familiarity with relational databases and data warehousing concepts
* Understanding of ETL concepts and tools
* Exposure to workflow orchestration tools like Apache Airflow, NiFi and Kafka
* Strong analytical and problem-solving skills
* Excellent communication and teamwork abilities
* Eagerness to learn and grow in a fast-paced environment
* Experience in Jupyter Notebooks, PostgreSQL
* Experience with version control systems (e.g., Git)
Desired Qualifications: * Knowledge of data lake technologies and big data tools (e.g., Spark)
* Familiarity with containerization tools like Docker