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Data Engineer Jobs in Reston, VA (NOW HIRING)

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 ...

VTG

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 ...

Bridge Core (BCore)

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 ...

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

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 ...

Andromeda Systems Incorporated

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

They are seeking a highly-skilled Data Engineer to design and optimize data pipelines and cloud-based systems that support analytics and operational applications. Responsibilities : • Architect ...

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 ...

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 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 ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Overview 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 ...

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

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 ...

Andromeda Systems Incorporated

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer role focuses on designing and optimizing data pipelines and cloud-based systems to support analytics and mission-critical deliverables while collaborating with cross-functional ...

AaraTechnologies Inc

DATA ENGINEER

Washington, DC

$129K - $155K/yr

Data Engineer Healthcare (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare (2 3 years experience) to support healthcare data ...

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 ...

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 ...

Nwis

Data Engineer

Sterling, VA

$113K - $136K/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 Operations ...

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/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 ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Reston, VA

Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do data engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 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 Reston, VA? The most popular types of Data Engineer jobs in Reston, VA are:
What are popular job titles related to Data Engineer jobs in Reston, VA? For Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Reston, VA look for? The top searched job categories for Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Engineer jobs? Cities near Reston, VA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Reston, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.
Data Engineer

Data Engineer

Analytica

Washington, DC • On-site

$129K - $155K/yr

Full-time

Medical, Retirement

Posted yesterday

Job description

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 solutions. We are actively considering candidates with a range of expertise, and responsibilities will be aligned to demonstrated technical depth, autonomy, and ability to deliver impact.
The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using Databricks and modern data engineering frameworks.
Analytica has been recognized by Inc. Magazine as one of the fastest-growing private companies in the U.S. for three consecutive years. We partner with organizations across industries to deliver impactful, data-driven solutions. We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits, professional development funding, and a 401(k) match.
Responsibilities include (but are not limited to):
  • Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level)
  • Develop and optimize data models, including dimensional (star/snowflake) schemas, to support analytics and reporting use cases
  • Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasets
  • Collaborate with stakeholders to translate business requirements into technical data solutions
  • Ensure data quality, integrity, and performance through testing, monitoring, and optimization
  • Contribute to data platform design decisions, tooling selection, and engineering best practices (increasing influence at higher levels)
  • Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance of data applications
  • Apply data governance, security, and metadata management best practices

Qualifications (aligned to expertise level):
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience)
  • Experience working across cloud (AWS, Azure) or hybrid data environments
  • Demonstrated hands-on experience with Databricks commensurate with overall years of experience and seniority level
  • US Citizenship and must be able to obtain and maintain security clearance
  • Emerging / Junior Data Engineer:
    • Foundational knowledge of SQL and Python (or similar language)
    • Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects
    • Understanding of basic data modeling and ETL/ELT concepts
    • Ability to work within established pipelines and contribute to data workflows with guidance
  • Mid-Level Data Engineer:
    • Hands-on experience building and maintaining data pipelines using Databricks and Spark
    • Strong SQL and programming skills (Python and/or Scala)
    • Experience designing data models and optimizing data processing workflows
    • Ability to independently deliver data solutions and troubleshoot performance issues
  • Senior Data Engineer:
    • Deep expertise in Databricks, Spark, and large-scale data processing architectures
    • Proven ability to design and implement scalable data platforms and lakehouse architectures
    • Strong experience with performance tuning, data reliability, and cost optimization
    • Ability to lead technical design, mentor team members, and influence data engineering best practices
    • Experience working cross-functionally to define data strategy and architecture
  • Strong communication skills and ability to work effectively with both technical and non-technical stakeholders

Preferred Qualifications:
  • Experience with Delta Lake and lakehouse architecture pattern
  • Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)
  • Experience with data governance, cataloging, and lineage tools
  • Experience mentoring junior engineers or leading technical initiatives (senior level)
  • Relevant certifications in data engineering or big data technologies particularly in Databricks

AboutAnalytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small businessthat hasbeen recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growingcompanies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The companyis appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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