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Remote Ai Data Engineer Jobs in Reston, VA (NOW HIRING)

ETL Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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

Washington, DC · On-site +1

$129K - $155K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial ... AI tools may help identify skills and experiences relevant to the role. * Interview Support: AI ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

  • Medical

  • Retirement

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial ... AI tools may help identify skills and experiences relevant to the role. * Interview Support: AI ...

Data Engineer, Senior

Chantilly, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0243548 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 ...

AI Engineer - Gen AI & NLP

Washington, DC · Remote

$120K - $230K/yr

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work ... Your responsibilities as a Data Engineer. * Design and implement GenAI-powered solutions (LLMs ...

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Company Actifai is an AI company helping broadband and telecom providers optimize high-value ... The Position The Actifai Data Engineering team needs great engineers to architect and build the ...

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Company Actifai is an AI company helping broadband and telecom providers optimize high-value ... The Position The Actifai Data Engineering team needs great engineers to architect and build the ...

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... and AI-driven initiatives. This is a full-time, salaried, remote position. Candidate must reside ...

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... and AI-driven initiatives. This is a full-time, salaried, remote position. Candidate must reside ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Showing results 21-40

Remote Ai Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

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

As of Aug 18, 2026, the average yearly pay for remote ai data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

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 Reston, VA?

The most popular types of Ai Data Engineer jobs in Reston, VA are:

What are popular job titles related to Remote Ai Data Engineer jobs in Reston, VA?

For Remote Ai Data Engineer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Engineer jobs in Reston, VA look for?

The top searched job categories for Remote Ai Data Engineer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Ai Data Engineer jobs?

Cities near Reston, VA with the most Remote Ai Data Engineer job openings:

AI & Data Analytics Developer - Must be government clearance eligible

NavAide

Arlington, VA • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago


Job description

Job Title: AI & Data Analytics Developer
About Navaide
Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. We bring deep domain expertise, practical execution, and a people-first culture to complex government environments.
Catalysts for a Stronger Tomorrow
At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities.
How You Will Make an Impact:
We are seeking an AI & Data Analytics Developer to support a federal acquisition process modernization effort. This role will work under the direction of the Lead AI & Data Analytics Engineer to build dashboards, data models, workflows, prototypes, reports, and analytical solutions using Microsoft Power Platform, Palantir Foundry, Advana, Jupiter, and Databricks.
The successful candidate must be technically curious, detail-oriented, proactive, and able to execute quickly. This individual will help clean, transform, validate, and visualize data while supporting AI-enabled use cases that generate insights for acquisition and contract writing stakeholders.
This role is ideal for someone who can build, test, document, and improve analytics products while learning the client's business process and federal data environment.
Key Responsibilities:
  • Support the design, development, testing, and maintenance of dashboards, reports, workflows, and data products.
  • Build Power BI dashboards and reports to support acquisition, contract writing, workload, data quality, and leadership reporting needs.
  • Support Power Platform development, including Power Apps and Power Automate workflows.
  • Assist with Palantir Foundry development, including datasets, transformations, dashboards, applications, and analytical products.
  • Work within Advana and Jupiter environments to access, explore, analyze, and prepare data.
  • Use Databricks, SQL, Python, PySpark, or similar tools to clean, transform, validate, and prepare data for analytics and AI use cases.
  • Support AI-enabled analytics capabilities, including automated insights, natural language querying, anomaly detection, trend analysis, and leadership summaries.
  • Validate AI-generated insights against source data and business rules.
  • Document data sources, transformation logic, assumptions, business rules, calculations, and known data limitations.
  • Assist with data quality checks, data reconciliation, and issue identification.
  • Support user testing, dashboard validation, prototype development, and stakeholder feedback sessions.
  • Work with acquisition and contract writing subject matter experts to understand reporting needs and business context.
  • Support recurring reporting, ad hoc analysis, and executive-level data requests.
  • Collaborate with the lead engineer, business analysts, system owners, and client stakeholders to deliver timely and accurate analytics products.

Required Qualifications:
  • 3+ years of experience in data analytics, business intelligence, data engineering, AI analytics, reporting, dashboard development and workflow automation.
  • Experience with Power BI and data visualization.
  • Experience using SQL and analytical tools such as Python, Jupiter notebooks, or similar analytical tools.
  • Experience cleaning, transforming, validating, and reconciling data with ability to identify data quality issues and inconsistencies.
  • Familiarity with AI, machine learning, generative AI, prompt engineering, or automated insight generation.
  • Strong documentation skills.
  • Ability to communicate analytical findings to non-technical stakeholders.
  • Ability to work in a fast-paced environment and execute tasks with limited day-to-day oversight.
  • Eligible to obtain a U.S. Government clearance

Preferred Qualifications
  • • Experience with, or willingness to quickly learn, modern analytics platforms and environment such as Palantir Foundry, Advana, Jupiter, and Databricks.
  • • Experience with Microsoft Power Platform including Power BI, Power Apps, and Power Automate.
  • Experience supporting federal, defense, or national security analytics programs.
  • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.

Travel
Up to 10% travel, depending on environment cutovers, stakeholder design sessions, and validation/test events.
Education
What We Offer
Navaide is committed to fostering a supportive, inclusive, and forward-thinking workplace where our team members can thrive. Our benefits are designed to support your well-being, professional growth, and ability to work at a sustainable pace.
  • Competitive compensation: $110,000 - 130,000 / year (commensurate with experience)
  • Comprehensive benefits, including medical, dental, and vision coverage
  • Flexible time off
  • Professional development opportunities
  • Company perks such as flex spending, wellness initiatives, etc.
  • 401(K) matching

About Our Culture
Navaide honors integrity, curiosity, diligence, and collaboration in everything we do. We believe in building strong relationships with our clients, communities, and teammates, united by a shared purpose of creating a stronger tomorrow. Navaide is proud to be an Equal Employment Opportunity employer.
Ready to Make a Difference?
For more about us, please check out the following links:
  • About Navaide
  • Other Opportunities
  • Employee Benefits
  • Connect with us on LinkedIn!

Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
  • E-Verify Participation:
  • E-Verify Participation Poster
  • IER Right to Work Poster

No third parties, please.

NavAide logo

About NavAide

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2016