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Remote Ai Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Richmond, VA · Remote

$113K - $136K/yr

US-VA-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... Experience developing AI to explore, understand, and validate data. * Strong proficiency in SQL ...

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0245373 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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 ... Experience with data engineering projects supporting data science, AI/ML implementations, and ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242536 Location: Arlington,VA,US Share job via: Share Data ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245362 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242942 Location: Arlington,VA,US Share job via: Share Data ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245235 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

Remote within the continental United States. Periodic travel may be required Citizenship ... Experience using AI-assisted development tools to accelerate routine engineering tasks, testing ...

Enterprise Data Architect

Mclean, VA · Remote

$135K - $165K/yr

Partner with Data Engineering, MLOps/LLMOps, and AI Development teams to ensure data architectures support scalable pipelines, feature engineering, and high-performing ML/AI workloads. * Conduct data ...

ETL Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0241379 Location: McLean,VA,US Share job via: Share ETL Data Engineer ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas ...

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Remote Ai Data Engineer information

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?

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 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 are the most commonly searched types of Ai Data Engineer jobs in Virginia?

The most popular types of Ai Data Engineer jobs in Virginia are:

What job categories do people searching Remote Ai Data Engineer jobs in Virginia look for?

The top searched job categories for Remote Ai Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Remote Ai Data Engineer jobs?

Cities in Virginia with the most Remote Ai Data Engineer job openings:

Infographic showing various Remote Ai Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 56% Full Time, 33% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Data Engineer

Raytheon

Richmond, VA • Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 4 days ago. Applications are no longer accepted.


RTX rating

8.2

Company rating: 8.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies


Job description

Date Posted:

2026-08-18

Country:

United States of America

Location:

US-VA-REMOTE

Position Role Type:

Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Active and existing security clearance required after day 1

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

Raytheon is seeking a highly skilled and motivated Data Engineer to join our Digital Technology, Data, Analytics & AI (DAAI) team. As a Data Engineer, you will be responsible for designing and developing data solutions including data ingest and consumption workflows, transformation, modelling, and resulting analytics. You will work closely with data scientists, analysts, and other stakeholders to ensure the value, reliability, and trustworthiness of our data solutions. Your expertise as a data engineer will help us leverage data to drive business impact decision-making and enhance our aerospace and defense capabilities.

What You Will Do:

  • Design, develop, optimize and maintain scalable and efficient data workflows and pipelines in Matillion leveraging AI-driven automation to process data from various sources using tools such as Matillion, HVR and Databricks.
  • Collaborate with data scientists, analysts, architects and other stakeholders to understand data requirements and translate them into technical solutions.
  • Perform data modeling to design and structure databases that support business requirements.
  • Write and optimize SQL queries for data analysis, transformation and troubleshooting.
  • Ensure data security and compliance with industry standards and regulations.
  • Adhere to and advocate established best practices, design patterns, and data governance mandates.
  • Document data processes, workflows, and technical specifications.

Qualifications You Must Have:  

  • Typically requires a University Degree or equivalent experience and a minimum of 8 years of prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience.
  • 5+ years experience as a data engineer performing AI driven data analysis, data modeling, data transformations.
  • Strong experience developing and optimizing ETL/ELT (Extract, Transform, Load) processes to ensure data quality and integrity with tools such as Matillion.
  • Strong data modeling and architecture skills
  • Experience collaborating with business data owners to understand their business data needs and translate them into clear, actionable, and detailed data requirements.
  • Experience with SAP Hana, BW, Multipliers, Infocubes, and OData.
  • U.S. Citizen - The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer:

  • Experience developing AI to explore, understand, and validate data.
  • Strong proficiency in SQL experience with relational databases.
  • Solid experience with Python for data transformation.
  • Experience with Snowflake and SAP for data warehousing.
  • Proficiency in data integration tools such as Matillion.
  • Proficiency in API integration (REST) and associated exchange security patterns.
  • Familiarity with data governance and data security practices.
  • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Experience in the aerospace and defense industry.
  • Experience with cloud platforms, services and tools.
  • Excellent communication and interpersonal skills.
  • Familiarity with data catalogs and data quality protocols.
  • Demonstrated ability to design and implement data solutions that meet strict security, compliance, and governance standards.
  • Understanding of data protection requirements in U.S. government cloud environments (FedRAMP, ITAR, etc.).

What We Offer

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

Learn More & Apply Now!

Please consider the following role type definition as you apply for this role.

Remote: Employees who are working in remote roles will work primarily offsite (from home). An employee may be expected to travel to the site location as needed. The successful candidate for this role will be required to reside and work from one of the 50 U.S. states (excluding U.S. territories).

Typically requires: A University Degree or equivalent experience and minimum 8 years prior relevant experience, or An Advanced Degree in a related field and minimum 5 years experience

Engineering/Other Technical Positions: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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Benefits

Hours and flexibility

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About RTX

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing, it services, aerospace product and parts manufacturing and engineering professional services

Company size

10,000+ Employees

Headquarters location

Waltham, MA, US

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