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

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

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

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 (Remote - US)

Bethesda, MD · On-site +1

$122K - $147K/yr

... in data engineering best practices, including data pipelines, transformation, and data quality. Location This is a remote role which may require occasional travel to the DC Metro area for onsite ...

Data Engineer (Remote - US)

Washington, DC · On-site +1

$129K - $155K/yr

... in data engineering best practices, including data pipelines, transformation, and data quality. Location This is a remote role which may require occasional travel to the DC Metro area for onsite ...

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The Opportunity: Data is only as powerful as the pipelines that move it, the structure that organizes ...

AI Data Engineer

Fort Belvoir, VA · Remote

$129K - $155K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and ...

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer ... Data Engineer will conduct code reviews, solution brainstorming, and define UI designs and ...

Data Engineer - Databricks

Washington, DC · Remote

$129K - $155K/yr

Overview We are seeking a Junior Data Engineer to join a dynamic team. This role focuses primarily ... Fully remote (must work EST) * Security Clearance: Public Trust Key Responsibilities * Support ...

New

Data Engineer (Databricks) - Remote USA

Reston, VA · Remote

$119K - $143K/yr

You'll be joining a cross-functional team of full stack developers, data engineers, and data ... This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings.

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.

Lead Data Engineer

Washington, DC · Remote

$117K - $140K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

New

Data Engineer II

Washington, DC · On-site +1

$95K - $125K/yr

As a Data Engineer II, you will be a key technical contributor working directly alongside the ... Remote friendly (within the U.S.) * And more! The salary range for candidates who meet the minimum ...

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. • ...

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

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Showing results 1-20

Remote Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do remote data engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote 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 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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

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 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 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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
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 Remote Data Engineer jobs in Reston, VA? For Remote Data Engineer jobs in Reston, VA, the most frequently searched job titles 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 June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.
Data Engineer

Data Engineer

Shift5

Arlington, VA • Remote

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 11 days ago


Job description

About Shift5

Shift5 is building the data platform for onboard operational technology (OT). We deliver cybersecurity, predictive maintenance, and compliance capabilities that enable defense and commercial fleets to operate with greater readiness, resilience, and mission assurance.

We are seeking a Data Engineer to join our growing Product Engineering team. In this role, your primary responsibility will be to design, build, and maintain data processing, storage, and integration pipelines. You will report to our Off Vehicle Manager, Software Engineering, and operate in a team-based environment with engineers, product managers, program managers, and designers to conceive, implement, and shape major features. You'll be a major factor in generating high-impact products that literally save lives.

What You'll Do
  • Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
  • Feature Ownership: Interpret requirements and design specifications, taking full ownership of building features from the ground up.
  • Write Quality Code: Write clean, well-documented, scalable, extensible, and testable code to ensure application quality and maintainability.
  • Cross-Functional Collaboration: Partner with data scientists and engineers to create semantic data models representing complex vehicular systems, and integrate applications cleanly across other Shift5 componentry.
  • Support Stakeholders: Build scalable data products for data scientists, transportation engineers, and executives to drive insights and decision-making.
  • Cloud Optimization: Create efficient, reliable, cost-effective, dynamically scalable, and observable solutions utilizing AWS cloud services.
  • Data Analysis & Quality: Analyze complex data sets to create data ontologies, verify data quality/integrity, and ensure data accuracy throughout pipelines.
  • Field Support: Support the design process and occasionally travel to customer sites (estimated a few times per year) to collaborate with Field Engineers on data integration and deployment.
What Success Looks Like
  • High-Impact Delivery: You successfully deliver scalable, observable, supportable, and reliable data processing applications that empower customers to run smarter, safer fleets.
  • End-to-End Ownership: You confidently steer features from initial requirements gathering and design through planning and implementation in a fast-paced environment.
  • Collaborative Impact: You actively shape product design alongside multidisciplinary teams, contributing directly to a culture of high performance and mission readiness.
  • Adaptability: You efficiently multitask and smoothly accommodate changing priorities on demand to meet the dynamic needs of a scaling company.
What We're Looking For
  • Engineering Experience: 2+ years of software/data engineering experience with a deep understanding of software engineering practices and concepts.
  • Core Languages: 2+ years of experience with a major programming language (GoLang, Java, or Python).
  • Databases & Big Data: 2+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc.) alongside 2+ years of experience with Big Data (Hadoop, Spark) and Data Modeling.
  • Cloud & Containers: 2+ years of experience with containerization and cloud services (Docker, Kubernetes) and cloud monitoring tools.
  • Data Pipelines: Expertise with batch and streaming data pipelines using technologies such as Apache Airflow or Benthos.
  • Modern Data Stack: Familiarity with modern data stack components including data ingestion, transformation, and orchestration.
  • U.S. citizenship required and ability to obtain a security clearance.
  • Data Architecture: Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift).
  • DevOps Practices: Proficiency with CI/CD, source control, design reviews, and integrating observable practices.
  • Travel Flexibility: Willingness to travel occasionally to customer and partner sites to support field integration and deployment efforts.
Compensation & Benefits
  • Base Salary: $130,000 - 170,000
  • Bonus program and equity in a fast-growing startup
  • Competitive salary and stock options in a fast-growing startup
  • Employer-paid medical, dental and vision coverage
  • Health Savings Account with annual employer contributions
  • Life Insurance
  • Uncapped paid time off policy
  • Flexible work & remote work policy
  • Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA)
Equal Opportunity Employer

Shift5 is committed to equal employment opportunity and affirmative action. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Shift5 is an Equal Opportunity Employer.

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