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

Edgesource

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 ...

Booz Allen Hamilton, Inc.

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 ...

ICF

Data Engineer (Remote - US)

Reston, VA · On-site +1

$119K - $143K/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 ...

SAIC

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 ...

ICF

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 ...

ICF

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 ...

GRVTY

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 ...

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.

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. • ...

MetaPhase Consulting

Lead Data Engineer

Reston, VA · Remote

$119K - $143K/yr

Remote. Travel * N/A Education Level * Bachelor's degree in data analytics engineering, computer science, or a related technical field required; aMaster'sdegree is preferred. Clearance Level

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

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 ...

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 ...

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Showing results 1-20

All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Washington, DC

Remote Data Engineer information

See Washington, DC salary details

$50.2K

$146.4K

$200.3K

How much do remote data engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote data engineer in Washington, DC is $146,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $155,100.00 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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Washington, DC? The most popular types of Data Engineer jobs in Washington, DC are:
What are popular job titles related to Remote Data Engineer jobs in Washington, DC? For Remote Data Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Washington, DC look for? The top searched job categories for Remote Data Engineer jobs in Washington, DC are:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Washington, DC as of June 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $146,365 per year, or $70.4 per hour.

Senior Data Engineer

Prestige Staffing Information Technology Job

Halethorpe, MD • Remote

$175K/yr

Full-time

Posted 27 days ago

Job description

JobID: 53340

Senior Data Engineer

Pay
$175,000+ annually

Location
(Remote optional with a preference for East Coast candidates)

Summary
Seeking a Senior Data Engineer to join the technology and engineering team. This position involves designing, developing, and maintaining a scalable data warehouse infrastructure to support benefits administration software for unions. The role requires close collaboration with analysts and stakeholders to optimize data architecture, create secure data pipelines, and enable advanced analytics. The ideal candidate will have extensive experience in data engineering, data warehousing, and ELT processes, with a focus on building reliable and high-performance data systems. This is a remote opportunity within a financially stable, innovatively driven company with over 40 years of market presence.

Requirements

  • 5+ years of experience in data engineering, modeling, governance, management, and ELT on large-scale platforms
  • 3+ years of hands-on experience with Databricks, including Delta Live Tables and Unity Catalog
  • 3+ years of experience with analytical SQL (ANSI SQL, T-SQL, Spark SQL)
  • Strong Python programming skills for data engineering
  • Practical knowledge of data quality, observability practices, and orchestration tools
  • Familiarity with integrating data solutions with AI and machine learning models
  • Experience with version control systems like Git preferred
  • Knowledge of streaming and ingestion tools such as Kafka, Kinesis, or Debezium is a plus
  • Hands-on experience with tools like dbt, Airflow, Terraform, Power BI, and others is advantageous
  • Bachelor’s degree in Computer Science, Information Technology, or related field; Master’s degree preferred

Responsibilities

  • Design, develop, and maintain a scalable data warehouse/lakehouse environment
  • Build and implement ELT pipelines for high-quality data ingestion and transformation, utilizing best practices like “pipelines as code”
  • Ensure data security, compliance, and governance, including role-based access controls and encryption
  • Optimize data workflows and storage for cost efficiency and performance
  • Collaborate with engineers, analysts, and stakeholders to refine data needs, providing technical mentorship and documentation
  • Develop testing frameworks, enforce data contracts, and establish observability standards including lineage tracking and incident response procedures
  • Monitor and troubleshoot data workflows, resolving automation and data issues
  • Provide technical guidance, leadership, and skill development within the team
  • Contribute within an Agile-Scrum environment and produce comprehensive technical documentation
  • Serve as a trusted expert on organizational data domains, processes, and best practices

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