2

Remote Data Engineer Jobs in Reston, VA (NOW HIRING)

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/yr

Glider Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data Warehouse ...

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.

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Data Engineer ROLE SUMMARY: Conducts data migration and data architecture for the BATS Modernization project. PRIMARY RESPONSIBILITIES: * Design and build data pipelines using tools like SSIS. * ...

ETL Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0241379 Location: McLean,VA,US Share job via: Share ETL Data Engineer The Opportunity: As a data engineer, you know that a good site or system needs the right combination ...

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to deliver reliable, high-performance data and analytics products while improving data accessibility ...

New

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

Collaborate with ML engineers, other data engineers, and software developers to deliver actionable ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to deliver reliable, high-performance data and analytics products while improving data accessibility ...

New

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

Data Engineer

Fairfax, VA · On-site +1

$95K - $115K/yr

We are seeking a skilled and motivated Data Engineer to join our dynamic team as we continue to build and optimize data pipelines using PySpark, Databricks, AWS, and other cutting-edge technologies.

Mission (Data) Engineer

Arlington, VA · Remote

$117K - $140K/yr

Mission (Data) Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment  * Additional benefits like flexible hours, work travel ...

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Data Engineer

Fairfax, VA · On-site +1

$95K - $115K/yr

Department Client Delivery Role AI & Data Engineering Locations Remote within United States Remote status Fully Remote

Showing results 21-40

Remote Data Engineer information

See Reston, VA salary details

$46.4K

$135.2K

$185K

How much do remote data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data engineer in Reston, VA is $135,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,300.00 and $143,300.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

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 cities near Reston, VA are hiring for Remote Data Engineer jobs?

Cities near Reston, VA with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,200 per year, or $65 per hour.

Data Engineer

Edgesource

Centreville, VA • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Job description

Company Overview:

For over 25 years, Edgesource Corporation has served as an innovative technology service provider for the Department of Defense (DOD), Department of Homeland Security (DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other federal, state, and commercial clients locally, nationally, and abroad. From providing boutique technical solutions in support of the DOD Counter Unmanned Aerial Systems (CUAS) mission set to addressing the most critical Cybersecurity threats facing our nation as a prime contractor with the DHS Cybersecurity & Infrastructure Security Agency (CISA), a career at Edgesource is an opportunity to do meaningful, interesting, and impactful work.

Position Overview:

  • Client is seeking a data engineer to grow our team performing cutting edge client work in mission space. With overwhelming amounts of large data, client is seeking a data engineer to support data structuring for implementation into a larger enterprise system that is being custom developed for client.

Development is performed on client site.

Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines for batch and real-time processing using Python and SQL.
  • Integrate data from multiple sources, including databases, APIs, streaming platforms, PDFs, and MS Office files.
  • Build scalable data architectures to support analytics and machine learning workloads.
  • Optimize data processing and queries for performance and cost efficiency in AWS S3.
  • Exposure to PySpark or other big data frameworks is a plus for future pipeline scalability.
  • Develop and implement web scraping and data ingestion workflows to collect open-source data, integrating content and producing structured datasets and visualizations for analytics and stakeholder consumption.

Data Management & Optimization

  • Collect, clean, and validate large volumes of structured and unstructured data.
  • Track data versions, implement data quality checks, and ensure data reliability.
  • Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets.
  • Implement data governance practices, including documentation, cataloging, lineage, and security.
  • Ensure compliance security standards.

Collaboration with Data Science & Stakeholders

  • Work closely with Data Scientists, Analysts, and stakeholders to understand data requirements.
  • Prepare clean, structured, and feature-ready datasets for analytics and machine learning.
  • Support feature engineering, aggregations, and transformations at scale.
  • Assist in deploying ML models to production, ensuring monitoring, versioning, and performance optimization.

APIs, Containers & CI/CD

  • Integrate with REST APIs.
  • Utilize Docker, Kubernetes, Git, and CI/CD pipelines to deploy and manage workflows.

Documentation & Communication

  • Document pipelines, data schemas, and transformations clearly.
  • Communicate technical concepts effectively with cross-functional teams.
  • Participate in code reviews and promote best practices across the team.

Required Qualifications:

  • 3–5 years + of professional experience in data engineering or related roles.
  • Strong collaboration skills to work effectively with Data Scientists, Analysts, and Engineering teams.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Detail-oriented, curious, and committed to data quality.
  • Capable of managing multiple priorities in a fast-paced environment.

Technical Skills

  • Python, SQL, and PySpark (highly desired) for data processing and pipeline development.
  • Elastic/OpenSearch for search and analytics solutions.
  • Experience with AWS cloud services and Linux environments.
  • Git for version control and collaborative development.
  • Understanding of machine learning workflows and MLOps concepts.

Working at Edgesource:
As an ISO 9001:2015 certified and CMMI Level 3 appraised small business, Edgesource specializes in providing a variety of technical solutions to include software development, database services, enterprise networking, data center virtualization, and management support. We are always seeking top-talent to join our team in helping to address the most critical technical challenges facing our nation.

At Edgesource, we understand that our employees are our greatest asset, and as such we offer a wide array of benefits to support the well-being of our staff to include:

- Flexible PTO Policy + 11 Paid Holidays -
- Flexible Work Schedules (Remote / Hybrid) -
- Medical / Dental / Vision / Flexible Spending Account (FSA) -
- 401k Plan with Match -
- Tuition & Professional Development Support -
- Commuter Benefits -
- Bonus & Employee Referral Programs -
- Career Growth Opportunities -

Disclaimer:

Edgesource Corporation is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Edgesource is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact our Recruiting Department by email at recruiting@edgesource.com or by phone at (703) 837-0550.