ZipRecruiter

Log In

1

Data Engineer Jobs in Springfield, VA (NOW HIRING)

IT America Inc

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 ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels--from junior to senior--to join our growing team and support the design and development of scalable data platforms and analytics ...

Altus Consulting Corp

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 ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join our growing team and support the design and development of scalable data platforms and analytics ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · Hybrid

$117K - $141K/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 ...

Central Intelligence Agency

Data Engineer

Washington, DC · On-site +1

$74K - $156K/yr

Summary DDI Data Engineers solve critical data challenges by building optimal data pipelines, analyzing and transforming data, and delivering data to systems to advance CIA's intelligence mission.

KDA Consulting Inc

Data Engineer

Chantilly, VA · 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 ...

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · 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 ...

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/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 ...

VTG

Data Engineer

Chantilly, VA

$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 ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · On-site

$117K - $141K/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 ...

VivSoft Technologies LLC

Data Engineer

Herndon, VA · 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 ...

ProSidian Consulting

Data Engineer

Alexandria, VA · 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 ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · 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 ...

VivSoft Technologies

Data Engineer

Herndon, VA · 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 ...

KDA Consulting Inc

Data Engineer

Herndon, VA · 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 ...

ProSidian Consulting, LLC

Data Engineer

Alexandria, VA · 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 ...

Woodgrove Solutions LLC

Data Engineer

Vienna, VA · 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 ...

New

Level Up Llc

Data Engineer

Reston, VA · 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 ...

Level Up Llc

Data Engineer

Reston, VA · 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 ...

next page

Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Springfield, VA

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 Jun 26, 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.

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.
More about Data Engineer jobs
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 jobs near you
Infographic showing various Data Engineer job openings in Springfield, VA as of June 2026, with employment types broken down into 2% As Needed, 88% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $135,492 per year, or $65.1 per hour.
Data Engineer

Data Engineer

IT America Inc

Mclean, VA • On-site

$115K - $139K/yr

Contractor

Posted 5 days ago

Job description

Position: 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 supporting Capital One. The ideal candidate will have a strong background in building scalable data pipelines, modern cloud data platforms, and working with large-scale financial data. This role involves working closely with Capital One’s data, analytics, and technology teams to design, implement, and optimize data solutions that enable advanced analytics and business insights.

Key Responsibilities:

  • Design, develop, and maintain robust, scalable, and secure data pipelines for Capital One applications.
  • Work with structured and unstructured data across cloud and on-premises environments.
  • Implement data ingestion, transformation, and integration processes using modern ETL/ELT frameworks.
  • Collaborate with data scientists, analysts, and product teams to enable data-driven decision-making.
  • Ensure data quality, governance, and compliance with Capital One and regulatory standards.
  • Optimize performance of large-scale data pipelines and storage solutions.
  • Work in Agile teams, following CI/CD and DevOps best practices.

Required Skills & Experience:

  • Strong experience in Data Engineering with hands-on development of ETL/ELT workflows.
  • Expertise in Python, SQL, and Spark (PySpark/Scala).
  • Proficiency in AWS Cloud Services (S3, Redshift, EMR, Glue, Lambda, etc.).
  • Experience with Snowflake or other cloud-based data warehouses.
  • Knowledge of data modeling, data lakes, and data warehouse design.
  • Experience with Airflow, DBT, or similar orchestration tools.
  • Strong understanding of CI/CD pipelines, Git, and DevOps practices.
  • Prior exposure to financial services, banking, or credit domain is highly desirable.

Nice-to-Have Skills:

  • Experience with Capital One-specific data platforms and tooling.
  • Exposure to real-time streaming technologies (Kafka, Kinesis).
  • Familiarity with machine learning pipelines.
  • Strong problem-solving and communication skills.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.