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Data Engineering Jobs in Virginia (NOW HIRING)

MasterCard

Senior Principal, Data Engineering

Arlington, VA · 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 ...

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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 ...

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 ...

Altus Consulting Corp

Data Engineer

Herndon, VA · 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 ...

Altus Consulting Corp

Data Engineer

Herndon, VA · 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 ...

Altus Consulting Corp

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 ...

Owens & Minor

Senior Manager, Data Engineering

Richmond, VA · 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 ...

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 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

Elder Research

Data Engineer

Arlington, VA

$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 ...

KDA Consulting Inc

Data Engineer

Mclean, VA · 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 ...

Elder Research

Data Engineer

Arlington, VA

$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 ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · 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 ...

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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 26, 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
Infographic showing various Data Engineering job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.
Data Engineer with Security Clearance

Data Engineer with Security Clearance

Data Machines

Reston, VA • On-site

$119K - $143K/yr

Other

Posted 3 days ago

Job description

Location: Reston, VA Clearance Requirement: TS w/ SCI Eligibility 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

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