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Data Engineers Jobs in Virginia (NOW HIRING)

BIG DATA ENGINEERS - HADOOP

Arlington, VA · On-site

$64.25 - $84.75/hr

Company Description AN INNOVATIVE START-UP IN ARLIGNTON IS LOOKING FOR BIG DATA ENGINEERS!!! What'll you get? - Rapid growth where you will be challenged and rewarded - Great benefits package ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

... engineers DFS team - what data is required to accomplish tasks Python SQL core analyst responsibilities building dashboards and reporting. Thanks & Regards, YOGITA ✉️ Yogita@kanakits.com

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Data Engineers create automated data validation methods to load data into systems accurately and consistently. Through partnerships with collectors, data scientists, and software engineers, Data ...

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Data Engineers create automated data validation methods to load data into systems accurately and consistently. Through partnerships with collectors, data scientists, and software engineers, Data ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Data Engineers create automated data validation methods to load data into systems accurately and consistently. Through partnerships with collectors, data scientists, and software engineers, Data ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

This role will partner with data engineers, data scientists, and product manager to design features, train/evaluate models, and deploy them to production using MLflow, Databricks and Workflows-with ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

This role will partner with data engineers, data scientists, and product manager to design features, train/evaluate models, and deploy them to production using MLflow, Databricks and Workflows-with ...

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

This role will partner with data engineers, data scientists, and product manager to design features, train/evaluate models, and deploy them to production using MLflow, Databricks and Workflows--with ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Partner with Data Engineers, Analysts, and business stakeholders to deliver high-quality data solutions. Troubleshoot data issues and implement solutions that maintain data integrity and quality.

Data Engineer II

Arlington, VA

$131K - $158K/yr

Partner with Data Engineers, Analysts, and business stakeholders to deliver high-quality data solutions. Troubleshoot data issues and implement solutions that maintain data integrity and quality.

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... engineers, developers, and data consumers in a fast-paced, agile environment. Qualifications : Required : • 3+ years of experience with data pipelines, including data acquisition, data prep, and ...

Overview Lead Data Engineers at Excella play a key role in designing and building modern data solutions, including data lakes and cleansed data repositories. They develop robust, scalable, and ...

Data Engineer

Fort Belvoir, VA · On-site

$185K - $220K/yr

... data engineers. Cape Fox Corporation, its subsidiaries, and affiliates provide equal employment opportunities to all persons and prohibit employment decisions on the basis of race, religion, color ...

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

... Data Engineers with expertise in utilizing Python, SQL, and ETL to extract, transform, and load structured and unstructured data from various sources.. The ideal candidate will have a strong ...

... data engineers. Cape Fox Corporation, its subsidiaries, and affiliates provide equal employment opportunities to all persons and prohibit employment decisions on the basis of race, religion, color ...

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Showing results 1-20

Data Engineers information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do data engineers jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data engineers 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.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but overall, it is considered a well-paying role in the tech field.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing scalable solutions using tools like SQL, Python, and cloud platforms. Their expertise remains critical in developing and overseeing AI systems and analytics workflows.

What does a data engineer actually do?

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

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries of $500,000 or more, especially in high-cost living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How do Data Engineers typically collaborate with Data Scientists and other team members on data-driven projects?

Data Engineers play a crucial role in enabling data-driven projects by designing, building, and maintaining the data infrastructure that Data Scientists and analysts rely on. They often work closely with Data Scientists to understand their data requirements, ensure data quality, and optimize data pipelines for efficient analysis. Collaboration involves frequent communication to align on data formats, data availability, and performance needs, as well as troubleshooting issues that may arise with data ingestion or transformation. This teamwork ensures that data is accessible, reliable, and actionable, which is essential for successful analytical and machine learning initiatives.

What is the difference between Data Engineers vs Data Analysts?

AspectData EngineersData Analysts
Required CredentialsBachelor's in Computer Science, Engineering, or related field; often certifications in cloud platforms or data engineering toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentBuild and maintain data pipelines, work with big data technologies, often in cloud environmentsAnalyze data, create reports and dashboards, work with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerce; focus on data infrastructureMarketing, finance, retail, healthcare; focus on data insights for decision-making

Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to provide actionable insights. Both roles are essential but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in programming (especially Python, Java, or Scala), database management, data modeling, and typically a degree in computer science or a related field. Familiarity with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms (AWS, Azure, or GCP) as well as relevant certifications are common technical requirements. Excellent problem-solving, attention to detail, and effective communication are soft skills that help Data Engineers excel in collaborative and fast-paced environments. These skills are crucial for ensuring robust, scalable, and efficient data pipelines that support reliable analytics and business decision-making.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain systems that collect, store, and process large amounts of data. Their primary role is to ensure that data is accessible, reliable, and efficiently structured for analysis by data scientists and other stakeholders. They work with various tools and technologies to create pipelines that move and transform data from multiple sources, making it usable for business intelligence and analytics. Data Engineers also focus on optimizing data workflows to ensure scalability and performance.
What cities in Virginia are hiring for Data Engineers jobs? Cities in Virginia with the most Data Engineers job openings:
Infographic showing various Data Engineers job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

BIG DATA ENGINEERS - HADOOP

Veredus - DC

Arlington, VA • On-site

$64.25 - $84.75/hr

Full-time

Re-posted yesterday


Job description

Company Description

AN INNOVATIVE START-UP IN ARLIGNTON IS LOOKING FOR BIG DATA ENGINEERS!!!

What'll you get?
- Rapid growth where you will be challenged and rewarded
- Great benefits package
- Casual, fun environment and team


Summary:
Seeking an experienced Engineer to join a fast-growing IT firm working on cutting-edge technologies. The Engineer will be building reusable SaaS components to ingest various types of data into a cloud environment using ETL tools.
Qualifications:
Bachelor's Degree in Computer Science, Engineering or a related technical discipline.
3+ years' experience with implementation of large enterprise systems or distributed computing environment
7+ years in Java, C# is a plus but not required.
Proficiency in Java, Spring, JPA and Hibernate.
Proficiency in RDBMS including SQL Server, MySQL, Oracle.
Proven track record of designing scalable, distributed software applications.
Proficiency in ETL development using tools such as Pentaho.
Experience in solving big-data problems using Open Source technologies such as Hadoop/HDFS and HBase on a cloud platform.
Responsibilities:
Take a product through the entire lifecycle of analysis, design, coding, testing and implementation and support.
Implement all aspects of application design - high-performance design, coding, caching mechanisms, security, encryption, state management, error logging, debugging, scalability, code reviews, environment configuration, and testing.
Perform unit and system-level testing of applications.
Develop reusable loosely-coupled software components to deploy on cloud platforms.
Implement ETL processes utilizing Pentaho.
Implement business-layers as web service using Java, Spring Framework and JPA.
Develop presentation layers using JavaScript, Bootstrap, CSS and HTML while utilizing MVC architecture.
Experience using COTS products to integrate systems at an enterprise level.
Familiarity in UI front-end development using HTML, CSS, and JavaScript.
Experience in building business workflows using Business Process Management
Cloudera ecosystems Hive, Pig, Impala, HBase, Mahout, Spark

Clearance: Prefer Candidates possess a Department of Defense SECRET security clearance. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

Additional Information

Veredus, A Hays Company is the leader in IT staffing and recruitment. With our local market knowledge and global reach, we better understand your specific needs and find you the perfect person or position. Our recruiting experts provide you a personal service to make the right match to help your or your business grow and succeed. 

We specialize in 22 functional areas of IT, in 20 industry sectors across 30 states, to provide you an expert service. 

We are an award winning company with total commitment to quality, integrity, and first class service. That's what makes us the trusted partner you can count on. 

For more information visit www.vereduscorp.com or www.hays-us.com