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Remote Amazon Data Engineer Jobs in Virginia (NOW HIRING)

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129.50K - $155.50K/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

$117.20K - $140.80K/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

Centreville, VA · On-site +1

$113.50K - $136.30K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

AI Data Engineer

Fort Belvoir, VA · Remote

$129.50K - $155.50K/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

$117.20K - $140.80K/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 ...

Mission (Data) Engineer

Arlington, VA · Remote

$131.70K - $158.20K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

POSITION TITLE Principal Data Engineer POSITION LOCATION This position is available to Virginia residents as Richmond or Lynchburg, VA Hybrid in-office applicants or remote applicants residing in ...

AI and Data Science Engineer III

Richmond, VA · On-site +1

$113.30K - $136.10K/yr

... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

AI and Data Science Engineer III

Mclean, VA · On-site +1

$115.70K - $139K/yr

... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

Senior Data Engineer

Richmond, VA · On-site +1

$104.90K - $142.50K/yr

POSITION TITLE Senior Data Engineer POSITION LOCATION This position is available to remote applicants residing in states/locations under Eastern Standard Time: Connecticut, Delaware, Florida, Georgia ...

Senior Data Engineer

Richmond, VA · On-site +1

$104.90K - $142.50K/yr

POSITION TITLE Senior Data Engineer POSITION LOCATION This position is available to remote applicants residing in states/locations under Eastern Standard Time: Connecticut, Delaware, Florida, Georgia ...

Data Engineer with Security Clearance

Chantilly, VA · On-site +1

$118.30K - $142.10K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Sr. Data Engineer (AI/ML)

Reston, VA · Remote

$100K - $160K/yr

Remote Security Clearance: DHS Suitability - contract requires U.S. Citizenship Must Have Qualifications: 5+ years of experience in Data/ML engineering (if school experience is used, at most that ...

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Remote Amazon Data Engineer information

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

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

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

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Virginia? The most popular types of Amazon Data Engineer jobs in Virginia are:
What job categories do people searching Remote Amazon Data Engineer jobs in Virginia look for? The top searched job categories for Remote Amazon Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Amazon Data Engineer jobs? Cities in Virginia with the most Remote Amazon Data Engineer job openings:
AI Data Engineer

AI Data Engineer

SAIC

Fort Belvoir, VA • On-site, Remote

$129.50K - $155.50K/yr

Full-time

Posted 12 days ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

68th of 203 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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