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

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.

ICF

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.

Booz Allen Hamilton, Inc.

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 ...

Agelix Consulting

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. * ...

Team Velocity

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.

Prometheus Federal Services

Data Engineer

Fairfax, VA · Remote

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 ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

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

Prometheus Federal Services

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 ...

Analytica

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 ...

Analytica

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 ...

Atreides

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 ...

Bixal

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.

Atreides

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 ...

Bixal

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

TeamWorx Security, LLC.

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Location:Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is ... The Senior Data Engineer will work with technical teams, program leadership, and government ...

Sparibis

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... ensure high data quality. * Support AI/ML teams with optimizing feature engineering code.

Steampunk

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. * Lead and architect ...

Steampunk

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. * Lead and architect ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in McLean, VA

Remote Data Engineer information

See McLean, VA salary details

$45K

$131.1K

$179.4K

How much do remote data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data engineer in McLean, VA is $131,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $139,000.00 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.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in McLean, VA?

The most popular types of Data Engineer jobs in McLean, VA are:

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For Remote Data Engineer jobs in McLean, VA, the most frequently searched job titles are:

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Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in McLean, VA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,125 per year, or $63 per hour.

Data Engineer

Central Intelligence Agency

Washington, DC • On-site, Remote

$74K - $156K/yr

Full-time

Re-posted 26 days ago

Job description

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.
Learn more about this agency
Duties
Help
As a DDI Data Engineer at CIA, you will transform and deliver high-priority datasets to enable exploitation and analysis for CIA's intelligence mission.
Using computer programming and other capabilities, DDI Data Engineers develop processes to transform raw structured or unstructured data into useful, actionable information for critical mission systems. They design and build scalable data pipelines using commercial cloud, open source, and custom software solutions to process large datasets. DDI Data Engineers create automated data validation methods to load data into systems accurately and consistently. Through partnerships with collectors, data scientists, and software engineers, DDI Data Engineers design how data will be integrated and stored for optimal effectiveness.
DDI Data Engineers are curious and use their skills to identify problems and build solutions, applying updated expertise in areas such as ETL, workflow and container orchestration, database and search technologies, distributed computing, serverless design, and cloud solutions. DDI encourages and supports continual learning. Opportunities exist for continued professional development, to include advanced technical training. Travel opportunities may be available.
Requirements
Help
Conditions of employment
  • You must be physically in the United States or one of its territories when you submit your resume via MyLINK.
  • You must be registered for the Selective Service, if applicable.
  • You must be a U.S. citizen and at least 18 years of age (dual-national US citizens are eligible).
  • You must be willing to move to the Washington, DC area.
  • You must successfully complete a thorough medical and psychological exam, a polygraph interview, and a comprehensive background investigation.
  • For further requirements information, please visit: https://www.cia.gov/careers/how-we-hire/requirements/

Qualifications
Minimum Qualifications
Interested candidates should be passionate about the ideals of our American republic, committed to upholding the rule of law and the U.S. Constitution, and committed to improving the efficiency of the Federal government. Hiring decisions will not be based on race, sex, color, religion, or national origin.
  • Proficiency with computer programming languages like Python, Java, Scala, or equivalent Object-Oriented Programming Language and knowledge of SQL
  • Knowledge of data ingestion, transformation, modeling, and storage:
    • Strong critical thinking and problem-solving skills
    • Ability to work independently and in groups within a team environment.
    • Curiosity, creativity, and initiative
  • Ability to meet the minimum requirements for joining CIA, including U.S. citizenship and a background investigation

Desired Qualifications
  • Prior experience related to data engineering, data science, data architecture, database and search technologies
  • Experience analyzing or processing bulk datasets
  • Experience with signal/image processing, geospatial modeling or voice/data communications
  • Prior application of serverless design patterns, such as serverless applications or websites
  • Understanding of scaling and performance of distributed/cloud systems
  • Understanding of data science concepts, AI/ML, automation, and scripting

Education
  • Bachelor's degree in one of the following fields or related studies:
    • Computer Science
    • Computer/Electrical Engineering or related field
    • Data Science or related quantitative field
    • Information Science/Technology
    • Forensics (Digital Forensics, Forensic Science, and Technology)
    • Mathematics/Statistics
  • At least a 3.0 GPA on a 4-point scale

Additional information
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
Help
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.

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