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Remote Data Engineering Jobs in Washington (NOW HIRING)

Comcast

Engineer 6, Machine Learning, Data & AI

Reston, VA · On-site +1

$119K - $143K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Transforming data engineering through Agentic AI, embedding AI across the data engineering ...

Bigbear.ai

Data Engineer

Mclean, VA · Remote

$142K - $190K/yr

This position is remote but will require travel in the DMV area. Responsibilities * Build source ... Implement ETL/ELT pipelines with strong engineering rigor: testing, observability, error handling ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Alexandria, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0240987 Location: Alexandria,VA,US Share job via: Share Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

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.

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Requirements: * Degree (or equivalent work experience) in Computer Science, Engineering ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Serviss

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Area / Remote Employment Type: Full-Time About SERVISS At SERVISS, we deliver cutting-edge ... The Work This is a hands-on engineering role. The selected candidate will: * Build, configure, and ...

SERVISS LLC

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Area / Remote Employment Type: Full-TimeAbout SERVISSAt SERVISS, we deliver cutting-edge ... The WorkThis is a hands-on engineering role. The selected candidate will: * Build, configure, and ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related ...

GRVTY

Data & Software Engineer

Mclean, VA

$150K - $250K/yr

Contributing to data engineering documentation, best practices, and design patterns What You Must Have * Active TS/SCI with Polygraph Clearance (applicable to this customer) * Experience building end ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

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Showing results 21-40

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Remote Data Engineering information

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?

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.

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 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?

The most popular types of Data Engineering jobs in Washington are:

What are popular job titles related to Remote Data Engineering jobs in Washington?

For Remote Data Engineering jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in Washington look for?

The top searched job categories for Remote Data Engineering jobs in Washington are:

What cities in Washington are hiring for Remote Data Engineering jobs?

Cities in Washington with the most Remote Data Engineering job openings:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Engineering Manager, Logistics Data Products - Clearance Required

LMI

Arlington, VA • On-site, Remote

$135K - $190K/yr

Full-time

Posted yesterday

New

Job description

Overview
LMI is building authoritative Army logistics data products for Headquarters, Department of the Army, Deputy Chief of Staff, G-4. We are seeking an Engineering Manager to lead the team responsible for these capabilities.
This is an engineering-forward management role. The Engineering Manager will serve as the team's supervisor while remaining directly involved in architecture, data engineering, ontology development, technical review, and production delivery.
This position is part of the team supporting the Army HQDA G-4 ELISS program, delivering innovative solutions that enable critical Army logistics and sustainment missions.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
  • Own the development and sustainment of authoritative Army logistics data products.
  • Lead and directly supervise a team of data engineers and data scientists.
  • Remain hands-on with data architecture, pipeline development, ontology, code review, and troubleshooting.
  • Establish engineering standards for quality, lineage, testing, source control, deployment, monitoring, and documentation.
  • Work with government stakeholders to translate logistics needs into technical priorities and deliverable capabilities.
  • Ensure data products are reliable, traceable, secure, and suitable for operational use.
  • Develop engineers through technical direction, mentoring, feedback, and performance management.
  • Provide trusted data foundations for downstream analytics, artificial intelligence, and machine-learning use cases.

Qualifications
Minimum Qualifications
  • Bachelor's degree in computer science, engineering, information systems, data science, or a related field, or equivalent practical experience.
  • Ten or more years of experience in data engineering, software engineering, data architecture, or enterprise data delivery.
  • Demonstrated experience managing or directly supervising technical professionals.
  • Strong hands-on experience with Python, SQL, and modern data-engineering practices.
  • Experience building production data pipelines and data products using Palantir Foundry, Army Vantage, or a comparable enterprise data platform.
  • Experience with data modeling, ontology development, data integration, and data-quality management.
  • Strong software-engineering fundamentals, including testing, source control, CI/CD, and production monitoring.
  • Experience supporting a Department of Defense customer.
  • Strong customer-facing and executive communication skills.
  • Active Secret clearance required.

Preferred Qualifications
  • Experience supporting the U.S. Army.
  • Experience with Army logistics, sustainment, supply, maintenance, or readiness data.
  • Direct experience with Army Vantage or Palantir Foundry.
  • Experience with PySpark or other distributed data-processing technologies.
  • Familiarity with Army logistics source systems and enterprise data environments.
  • Experience with cloud platforms, DevSecOps, or infrastructure as code.
  • Familiarity with Palantir Continue or comparable AI-assisted development tools.

The target salary range for this position is $135,000-$190,000.
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
Job Locations
US-VA-Arlington
US-Remote

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