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Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

They are seeking a Data Engineer to design and implement data pipelines, integrate diverse data sources, and collaborate with cross-functional teams to deliver data solutions that meet business ...

$108K - $129K/yr

Data Engineer ID: 1616 Location: Fort Eustis, VA Department: N/A More about this job > Description AMSG is seeking a full time Data Engineer with U.S. Army Transformation and Training Command (T2COM ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

The Data Engineer delivers reliable, secure, and high-performing data solutions that support analytics, reporting, and downstream advanced analytics use cases. This individual works closely with ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Acuity, Inc. is a technology consulting firm that supports federal agencies, and they are seeking a Data Engineer to design, develop, and maintain scalable data pipelines and integration solutions.

Data Engineer

Arlington, VA

$131K - $158K/yr

As a Data Engineer, you will act as a technical leader within the data engineering group. You will work closely with customers, software developers, and cross-functional data professionals to ...

New

DATA ENGINEER

Virginia Beach, VA

$101K - $121K/yr

Data Engineer Banking (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial ...

New

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Fort Eustis, VA · Hybrid

$108K - $130K/yr

AMSG is seeking a full time Data Engineer with U.S. Army Transformation and Training Command (T2COM) or other Army experience. AMSG supports a variety of Department of Defense (DoD), Department of ...

Data Engineer

Arlington, VA

$130K - $157K/yr

As a Data Engineer, you will act as a technical leader within the data engineering group. You will work closely with customers, software developers, and cross-functional data professionals to ...

New

Data Engineer

Reston, VA

$119K - $143K/yr

The Data Engineer delivers reliable, secure, and high-performing data solutions that support analytics, reporting, and downstream advanced analytics use cases. This individual works closely with ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Role: Data Engineer. Location: McLean VA -hybrid Duration : Contract Tech stack: Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Overview We are seeking a Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. The Data ...

Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

As a Data Engineer, you will act as a technical leader within the data engineering group. You will work closely with customers, software developers, and cross-functional data professionals to ...

New

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One Employee / Contractor About the Role: We are seeking an experienced Data Engineer to join our team ...

Data Engineer

Herndon, VA

$117K - $141K/yr

Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure that provide ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure that provide ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Overview We are seeking a Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. The Data ...

Data Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Data Engineer Herndon, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence ...

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Showing results 1-20

Data Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do data engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data engineer 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.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
What are the most commonly searched types of Data Engineer jobs in Virginia? The most popular types of Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Data Engineer jobs? Cities in Virginia with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in VA? For Data Engineer jobs in VA, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in Virginia as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.
Data Engineer

$131K - $158K/yr

Full-time

Posted 6 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

45th of 426 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and public safety. They are seeking a Data Engineer to design and implement data pipelines, integrate diverse data sources, and collaborate with cross-functional teams to deliver data solutions that meet business objectives.
Responsibilities:
• Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
• Develop efficient data processing and transformation workflows to support analytics and reporting needs.
• Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
• Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.
• Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
• Contribute to data governance, security, and automation initiatives within the data ecosystem.
• Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.
Qualifications:
Required:
• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake)
• Experience with Python, SQL, Spark, and PySpark
• Experience with data platforms like Databricks, Palantir, and Snowflake
• Familiarity with data orchestration and data quality processes
• Must be a US Citizen
Preferred:
• Secret clearance or above
• Experience working with federal clients
• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
• Experience with Agile / Scrum
• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Accenture Federal Services employees say

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