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Remote Data Engineer Jobs in Silver Spring, MD (NOW HIRING)

AI Data Engineer

Fort Belvoir, VA · On-site +1

$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 ...

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 ... The Palantir Data Engineer leverages advanced Python skills within a small team to develop and ...

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

We are seeking a Data Engineer to join our growing Product Engineering team. In this role, your ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Engineer I

Baltimore, MD · Remote

$113K - $136K/yr

A Data Engineer I is a junior developer role responsible for supporting the design, development ... Being part of a remote first environment that empowers our employees to build strong personal ...

Data Engineer I

Baltimore, MD · Remote

$113K - $136K/yr

A Data Engineer I is a junior developer role responsible for supporting the design, development ... Being part of a remote first environment that empowers our employees to build strong personal ...

Data Engineer II

Baltimore, MD · Remote

$113K - $136K/yr

As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure ... Remote first work environment * Collaborative, cross-functional technology team * Fast-paced ...

Data Engineer II

Baltimore, MD · Remote

$113K - $136K/yr

As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure ... Remote first work environment * Collaborative, cross-functional technology team * Fast-paced ...

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 ...

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Showing results 1-20

Remote Data Engineer information

See Silver Spring, MD salary details

$45.9K

$133.7K

$182.9K

How much do remote data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote data engineer in Silver Spring, MD is $133,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,700.00 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.
What are the most commonly searched types of Data Engineer jobs in Silver Spring, MD? The most popular types of Data Engineer jobs in Silver Spring, MD are:
What job categories do people searching Remote Data Engineer jobs in Silver Spring, MD look for? The top searched job categories for Remote Data Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Data Engineer jobs? Cities near Silver Spring, MD with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Silver Spring, MD as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $133,688 per year, or $64.3 per hour.
AI Data Engineer

AI Data Engineer

SAIC

Fort Belvoir, VA • On-site, Remote

$129K - $155K/yr

Full-time

Posted 15 hours ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 204 rated it services


Job description

Job ID: 2612714

Location: Fort Belvoir, VA, US

Date Posted: 2026-05-18

Category: Information Technology

Subcategory: Database Engr

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: 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 maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions.
Key Responsibilities:

  • Translate business requirements into logical data models to support entity relationships and data flows.
  • Design and implement scalable data pipelines for AI and machine learning workloads.
  • Develop and maintain data architectures to ensure data quality, availability, and security.
  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
  • Optimize data workflows for real-time analytics and decision-making.
  • Ensure adherence to data governance policies and security protocols.
  • Stay current on data engineering, AI, and machine learning advancements.
  • Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
  • Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
  • Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
  • Contribute to the successful delivery of programs and projects.

Qualifications

Required Education:

  • Bachelors degree and five (5) years or more related experience; Masters and two (2) years or more experience; PhD or JD and zero (0) years or more experience.

Qualifications:

  • 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
  • Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
  • Strong knowledge of data pipeline design, ETL processes, and database management.
  • Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
  • Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
  • Familiarity with data governance, security practices, and compliance standards.
  • Excellent analytical, problem-solving, and teamwork abilities.

Desired Qualifications:

  • Experience with Apache Spark or other distributed computing platforms.
  • Palantir Foundry Certification.
  • Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, AWS SageMaker).
  • Proficiency in real-time data processing and analytics platforms.
  • Knowledge of Army Intelligence Enterprise data workflows and requirements.
  • Strong understanding of MLOps practices and supporting tools.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Clearance:

  • Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly.  
     


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