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Remote Ai Data Engineer Jobs in Silver Spring, MD

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$120K - $160K/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 ...

Arbor

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

As AI data centers drive a surge in electricity demand, millions of homes and businesses remain ... The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Rowe Price's data and AI capabilities. * Troubleshoot and optimize data solutions and platform ... Work Flexibility This role is eligible for full time remote work.

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Understanding of data science concepts, AI/ML, automation, and scripting Clearance Required * Due ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

AVIAN, LLC

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Understanding of data science concepts, AI/ML, automation, and scripting Clearance Required * Due ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

System One

Be Seen First

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data ... Collaborate with data engineers to integrate models into production environments, including ...

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$150K - $195K/yr

Experience supporting Business Intelligence, Data Science, and AI initiatives. * Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote ...

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $195K/yr

Experience supporting Business Intelligence, Data Science, and AI initiatives. * Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Red Pulley, Inc.

Data Engineer

Washington, DC · Remote

$129K - $155K/yr

Washington, DC Metro Area (Remote) Clearance: Public Trust - Preliminary and Complete Fitness ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field ...

New

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 and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

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 and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

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All JobsRemote Ai Data Engineer JobsRemote Ai Data Engineer Jobs in Silver Spring, MD

Remote Ai Data Engineer information

See Silver Spring, MD salary details

$46K

$134.1K

$183.5K

How much do remote ai data engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote ai data engineer in Silver Spring, MD is $134,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote AI Data Engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What is a Remote AI Data Engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a Remote AI Data Engineer, and why are they important?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.
What are popular job titles related to Remote Ai Data Engineer jobs in Silver Spring, MD? For Remote Ai Data Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Engineer jobs in Silver Spring, MD look for? The top searched job categories for Remote Ai Data Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Ai Data Engineer jobs? Cities near Silver Spring, MD with the most Remote Ai Data Engineer job openings:
Remote Ai Data Engineer jobs near you
AI Data Engineer

AI Data Engineer

SAIC

Fort Belvoir, VA • On-site, Remote

$120K - $160K/yr

Full-time

Posted 17 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 207 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.  
     

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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