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Data Engineer Jobs in Springfield, VA (NOW HIRING)

Data Engineer

Herndon, VA ยท Remote

$117K - $140K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2 About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

Data Engineer

Mclean, VA ยท On-site

$117K - $141K/yr

We are seeking a skilled Data Engineer with 5 7 years of experience to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong ...

Data Engineer

Chantilly, VA ยท On-site

$118K - $142K/yr

Booz Allen Hamilton is a leading consulting firm, and they are seeking a Data Engineer to implement data engineering activities on mission-driven projects. The role involves deploying and developing ...

Data Engineer

Alexandria, VA ยท Hybrid

$122K - $147K/yr

We seek Data Engineer | Workforce Planning & Strategic Human Capital Analytics - Training Analytics & Optimization [NSF0038038] candidates with relevant Government And Public Services Sector ...

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence ...

Data Engineer

Herndon, VA ยท On-site +1

$117K - $141K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

Data Engineer

Chantilly, VA ยท On-site

$117K - $140K/yr

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence ...

Data Engineer

Washington, DC ยท On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

Data Engineer

Washington, DC ยท On-site

$77K - $176K/yr

Job Number: R0243926 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data ...

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

Herndon, VA ยท Hybrid

$175K - $195K/yr

Data Engineer City, 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, or ...

Data Engineer

Herndon, VA ยท On-site

$175K - $195K/yr

Overview Data Engineer City, 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 ...

Data Engineer

Mclean, VA

$102K - $170K/yr

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience ...

Data Engineer

Vienna, VA ยท On-site

$90K - $170K/yr

Data Engineer Location: Tysons Corner, VA (Off-Site/Hybrid) Position: Full-Time, Permanent Security Clearance: DoD Secret Clearance Required (Ability to obtain) Experience: 3+ years, $90,000 - $170 ...

Data Engineer

Sterling, VA ยท On-site

$122K - $253K/yr

Data Engineer Location: Sterling, VA Clearance: TS/SCI Poly **This position is CONTINGENT upon contract award** The Data Engineer (DE) works with the Sponsor, Mission Partners, Platform and ...

Data Engineer

Chantilly, VA ยท On-site

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

Data Engineer

Reston, VA ยท On-site +1

$119K - $143K/yr

Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to enable exploitation and analysis for the federal government's intelligence mission. Using computer ...

Data Engineer

Reston, VA ยท On-site

$119K - $143K/yr

Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to enable exploitation and analysis for the federal government's intelligence mission. Using computer ...

Data Engineer

Arlington, VA ยท On-site

$113K - $188K/yr

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience ...

Data Engineer

Arlington, VA ยท On-site

$113K - $188K/yr

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience ...

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Showing results 1-20

Data Engineer information

See Springfield, VA salary details

$46.5K

$135.5K

$185.4K

How much do data engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data engineer in Springfield, VA is $135,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,600.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Springfield, VA? The most popular types of Data Engineer jobs in Springfield, VA are:
What are popular job titles related to Data Engineer jobs in Springfield, VA? For Data Engineer jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Springfield, VA look for? The top searched job categories for Data Engineer jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Data Engineer jobs? Cities near Springfield, VA with the most Data Engineer job openings:
Data Engineer

Data Engineer

VivSoft Technologies

Herndon, VA โ€ข Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Title: Data Engineer
Location: Remote, USA
Clearance: Top-Secret
Type: Full-time, W2
ย About VivSoft
We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and Digital Experience. We are a diverse team of innovators focused on creating open, scalable, and automated solutions that drive digital transformation in federal space. Our work culture fosters collaboration, creativity, and continuous learning.Job Summary
We are seeking a Data Engineer to support a federal agency background investigation and personnel vetting program. The selected candidate will design, develop, maintain, and optimize enterprise data solutions that support personnel vetting, adjudication, continuous vetting, and security clearance operations.Key Responsibilities
  • Design, develop, maintain, and optimize data pipelines, data services, and data integration solutions within AWS GovCloud environments.
  • Support migration of legacy data into modernized platform environments.
  • Develop and maintain APIs, ETL/ELT processes, and file-based integrations with internal and external government systems.
  • Perform data modeling, database design, schema modifications, and database performance optimization.
  • Ensure data quality, accuracy, integrity, and consistency across Personnel Vetting Management, Adjudication, and Appeals datasets.
  • Investigate and resolve data quality issues, coordinate remediation efforts with data providers, and implement preventative data quality controls.
  • Support data governance activities, data requests, reporting requirements, and audit readiness efforts.
  • Develop automated data validation, monitoring, and reconciliation processes.
  • Support database replication, backup/recovery, disaster recovery, and continuity of operations activities.
  • Collaborate with software engineers, cloud architects, DevSecOps engineers, product owners, and security teams within a SAFe Agile environment.
  • Support CI/CD pipelines, automated testing, and secure software delivery practices.
  • Create and maintain technical documentation, data dictionaries, architecture artifacts, and database design documentation.
  • Support compliance with RMF, Zero Trust, NIST, DoD IL5, and cybersecurity requirements.
Required Skills & Experience
  • 5+ years of experience as a Data Engineer, Database Engineer, Data Integration Engineer, or related role.
  • Bachelorโ€™s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related field.
  • Experience designing and maintaining enterprise-scale relational databases.
  • Strong SQL development and database optimization experience.
  • Experience with AWS cloud services and cloud-native data architectures.
  • Experience developing ETL/ELT pipelines and API integrations.
  • Experience with data governance, data quality, and master data management concepts.
  • Experience supporting Agile and DevSecOps environments.
  • Strong troubleshooting, analytical, and problem-solving skills.
  • Experience supporting federal government programs (DoD, Intelligence Community, DHS, or similar).
  • Experience with AWS GovCloud and IL5 environments.
  • Experience with PostgreSQL, Oracle, SQL Server, or cloud-native database services.
  • Experience with Python, Java, or other modern programming languages.
  • Experience with CI/CD pipelines, GitLab, Jenkins, or similar tools.
  • Knowledge of RMF, NIST 800-53, Zero Trust, and cybersecurity compliance requirements.
  • Familiarity with personnel security, adjudication, continuous vetting, or trusted workforce programs.
  • Any of the following certifications: AWS Certified Data Engineer โ€“ Associate, AWS Certified Solutions Architect, Certified Data Management Professional (CDMP),ย Security+ or equivalent DoD 8140/8570 certification, orย Certified Scrum Practitioner or SAFe certification
Benefits
  • Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for employees only)
  • Life Insurance
  • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
  • 401K Retirement Plan with employer match
  • Professional Development Training Reimbursement

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