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Remote Data Engineering Jobs in Washington (NOW HIRING)

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 ...

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 ...

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 ...

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Location:Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is ... The ideal candidate brings strong data engineering fundamentals, hands-on experience delivering ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

Remote within the continental United States. Periodic travel may be required Citizenship ... Bachelor's Degree in Computer Science, Engineering, Data Science, or a related technical field ...

Showing results 41-60

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 cities in Washington are hiring for Remote Data Engineering jobs?

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

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.

Data Engineer

Booz Allen Hamilton, Inc.

Arlington, VA • On-site, Remote

$62K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 25 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


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 intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients.
Join us. The world can't wait.
You Have:
  • 2+ years of experience utilizing programming languages, including C++, Java, or Python
  • 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
  • 1+ years of experience with source control and collaboration software, including Git or Atlassian tools
  • Experience with developing scalable ETL and ELT workflows for reporting and analytics
  • Knowledge of relational and non-relational database technologies, including SQL or GraphQL
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
  • Ability to work in a controlled facility, such as a SIPR space
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience deploying analytics workloads on a platform as a service (PaaS) and software as a service (SaaS), including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service
  • Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA
  • Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation
  • Experience developing and presenting complex technical information for technical and non-technical audiences and senior leaders
  • Experience developing and deploying large-scale batch and stream analytics pipelines
  • Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers
  • Experience with DoD information systems
  • Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, or Physics
  • Cloud Development Certification, including AWS Solutions Architect or Azure Certification, or Information Security Certification, including Security+ or CISSP Certification
  • TS/SCI clearance with a polygraph

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914