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Remote Data Engineering Jobs in Washington, DC (NOW HIRING)

Ennoble Care

Director of Data Engineering

Arlington, VA · Remote

$131K - $158K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... You'll bring engineering rigor and AI-augmented practices to make our data trustworthy and fast to ...

Rackner

Data Engineer (DoD Secret | Remote)

Washington, DC · Remote

$129K - $155K/yr

Remote (U.S. Based) Clearance: Active DoD Secret Clearance (or higher) Make an Impact on Military ... If you're passionate about data engineering, cloud-native systems, and mission-driven innovation ...

Booz Allen Hamilton, Inc.

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243926 Location: Washington,DC,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Delan Associates, Inc

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 ...

Ad Hoc

Senior Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

New

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

Database Engr Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0244477 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

GRVTY

Data & Software Engineer

Mclean, VA · Remote

$115K - $139K/yr

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$150K - $200K/yr

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

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Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Washington, DC

Remote Data Engineering information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do remote data engineering jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote data engineering in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Washington, DC? The most popular types of Data Engineering jobs in Washington, DC are:
What are popular job titles related to Remote Data Engineering jobs in Washington, DC? For Remote Data Engineering jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Washington, DC look for? The top searched job categories for Remote Data Engineering jobs in Washington, DC are:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Washington, DC as of July 2026, with employment types broken down into 73% Full Time, 7% Part Time, 5% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Remote Data Engineer Web Scraping & Pipelines

10alabs

Washington, DC • Remote

$105K - $125K/yr

Full-time

Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

10a Labs, located in Washington, D.C., is seeking a qualified Data Engineer to design and implement data pipelines for scraping and processing data. The ideal candidate will have a strong background in Python and SQL, along with 2+ years of experience in data engineering. This role offers a fully remote work environment, a competitive salary range between $105K and $125K, and professional development support for conferences and training. Generous PTO and a 401(k) plan are also included. #J-18808-Ljbffr

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