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

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/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)

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $84.75/hr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... AI platform. Roles include managing customer relationships, service portfolio and catalog ...

This role operates at the intersection of architecture, engineering, analytics, AI, and mission strategy. The Principal Data Solution Architect shapes the vision for how data is collected, governed ...

Data Engineer III

Mclean, VA · Remote

$115K - $139K/yr

Data Engineer III Job number: 820 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

Lead Data Engineer

Reston, VA · Remote

$106K - $140K/yr

D emonstrated proficiency through Microsoft Azure Data & AI certifications, including ... Remote . Travel * N/A Education Level * Bachelor's degree in data analytics engineering, computer ...

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position. Job Title: SQL Data Engineer Location-Type: Remote (EST/CST Preferred) Start Date Is: ASAP Duration:

Data Engineer

Tysons, VA · Remote

$92K - $158K/yr

Utilize AI-powered development tools (e.g., code autocompletion, debugging assistants, automated ... engineering, operations research, statistics, mathematics, computer science, data science or ...

Data Engineer

Tysons, VA · Remote

$92K - $158K/yr

Utilize AI-powered development tools (e.g., code autocompletion, debugging assistants, automated ... engineering, operations research, statistics, mathematics, computer science, data science or ...

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/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)

Data Engineer

Bethesda, MD · On-site +1

$122K - $147K/yr

As a Data Engineer II, you will be a key architect in building and maintaining our specialized ... This specific role is primarily remote, with occasional travel to an office or client site.

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

As a Data Engineer II, you will be a key architect in building and maintaining our specialized ... This specific role is primarily remote, with occasional travel to an office or client site.

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

As a Data Engineer II, you will be a key architect in building and maintaining our specialized ... This specific role is primarily remote, with occasional travel to an office or client site.

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... Support AI/ML teams with optimizing feature engineering code. * Expertise in Spark/Python ...

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 ...

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Showing results 1-20

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 Jun 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 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 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 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:

Data Engineer

GRVTY

Chantilly, VA • On-site, Remote

$117K - $140K/yr

Other

Posted 3 days ago


Job description

What Impact You'll Have

GRVTY's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You'll Be Owning

GRVTY is seeking a Data Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA.  

Responsibilities

  • Develop new tools, code & services to execute data engineering activities. Activities include the following tasks: 
  • Movement of structure & unstructured data using approved methods. Execute data ingestion activities for storing data in a local or enterprise level location. View data in its source format.
  • Develop code to format data that supports exploration. Analyze source data formats & work with Data Scientists & partners to determine the formats & transforms that best meet mission objectives.
  • Develop code and tools to provide one-time & on-going data formatting & transformations into enterprise or boutique data models. Implement existing ETL code & best practices/standards.
  • Develop an ETL Code Transition Plan. Develop & deliver documentation for each project including ETL mappings, code use guide, code location & access instructions.
  • Facilitate Code Reviews. Provide consulting services to support data transport, ingestion, conditioning, access, & management. 

What You Must Have

  • Active TS/SCI with Polygraph Clearance
  • Ability and willingness to quickly learn a new tool 
  • Strong communication skills with both your teammates, and your leads 
  • SQL, Python, Pyspark experience. 
  • Willingness to do development type work when needed (junior level development at best)
  • Ability to be a self starter and ask questions when needed 
  • Comfortable working with and manipulating data in compliance with the offices workflow
  • Extract, Transform and Load (ETL) tools and processes.  
  • AWS 
  • APIs 
  • Linux 
  • Geospatial tools/data 

What Would Be Nice to Have

  • Palantir Foundry Experience
  • Kubeflow 
  • Experience with OCR and text extraction of PDFs. 
  • Experience with data validation / data quality after ETLing to be sure it's ready for end users
  • Docker
  • Jenkins
  • Hadoop/Spark
  • Kibana
  • Kafka
  • NiFi
  • ElasticSearch Â