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Remote Data Engineering Jobs in Washington (NOW HIRING)

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 ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

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

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

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

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 ...

Serviss

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0247120 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

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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 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Mid-Level Data Architect(Remote)

Reston, VA • Remote

HRC Global Services
See more jobs at HRC Global Servicesexternal

$65.25 - $84/hr

Full-time

Re-posted 17 days ago

Job description

Mid-Level Data Architect

Location: United States (Hybrid/Remote as per project requirements)

Experience: 4–8 Years

Employment Type: Full-Time

About the Role

We are looking for a Mid-Level Data Architect to support the design, implementation, and optimization of modern cloud-based data platforms. Working alongside senior architects, you will help build scalable data solutions, contribute to data modeling efforts, and support enterprise analytics initiatives.

This role is an excellent opportunity for someone looking to grow into a senior architecture position while working on large-scale cloud data projects.

Key Responsibilities
  • Assist in designing Data Lakes and Data Warehouses
  • Develop logical and physical data models
  • Support cloud-based data platform implementation
  • Build and optimize data repositories
  • Assist with metadata management and data cataloging
  • Participate in performance tuning activities
  • Support data governance initiatives
  • Work with Data Engineers to implement scalable solutions
  • Assist with CI/CD and Infrastructure as Code deployments
  • Support reporting and visualization teams
  • Participate in architecture reviews and design discussions
Required Skills
  • 4–8 years of Data Engineering/Data Architecture experience
  • Experience with Data Warehouses and Data Lakes
  • AWS cloud experience (S3, Redshift, Aurora PostgreSQL or equivalent)
  • Strong SQL
  • Data Modeling
  • ETL/Data Pipeline understanding
  • Databricks or similar cloud analytics platform
  • Basic Terraform or Infrastructure as Code exposure
  • Understanding of Data Governance
  • Strong analytical and problem-solving skills
 
 
 
 
 
 
 
 
 
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