1

Data Engineer Ml Jobs in Reston, VA (NOW HIRING)

Data Engineer

Sterling, VA · On-site

$99K - $206K/yr

The Data Engineer will lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

The Data Engineer will lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through ...

Data Engineer

Herndon, VA

$117K - $141K/yr

The Data Engineer will lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through ...

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Modernize and optimize data and ML workflows by implementing best practices for scalability ...

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

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 ...

The Data Engineer will lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through ...

AI Data Engineer

Fort Belvoir, VA · On-site

$129K - $155K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise, ensuring data availability ...

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

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 ...

Data Engineer

Chantilly, VA

$117K - $140K/yr

Closure Technologies is seeking a Data Engineer that will leverage their development skills and ... Preferred Qualifications: * Experience deploying systems that leverage AI/ML technology

Data Engineer

Mclean, VA · On-site

$130K - $145K/yr

Integrating Al/ML services and models * Work with stakeholders to understand data requirements ... Contribute to data engineering documentation, best practices, and design patterns. Required ...

The Data Engineer will leverage their development skills and experience to support the successful ... Preferred Qualifications : * Experience deploying systems that leverage AI/ML technology.

Data Engineer

Springfield, VA · On-site

$60K - $180K/yr

M9 Solutions is seeking a Data Engineer to work onsite in support of a government contract for a ... AI/ML Integration: Collaborate with data scientists to integrate LLMs and ML models into pipelines ...

next page

Showing results 1-20

Data Engineer Ml information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do data engineer ml jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data engineer ml in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

What does a Data Engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

How do Data Engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.
What are popular job titles related to Data Engineer Ml jobs in Reston, VA? For Data Engineer Ml jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Data Engineer Ml jobs? Cities near Reston, VA with the most Data Engineer Ml job openings:

Data Engineer

Nightwing

Sterling, VA • On-site

$99K - $206K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers' most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.
The Data Engineer will lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption. You will design and operationalize modern data and retrieval foundations to support LLM-powered applications including patterns such as RAG, embeddings, vector search, and governed access to structured and unstructured data. You will be partnering with a team working with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring. This role blends hands-on technical ability with delivery management and team development, driving consistent engineering standards and measurable outcomes in client environments.
Required Qualifications:
  • Bachelor's degree in Computer Science, Statistics, Data Science, Information Systems or related field.
  • 6+ years of consulting experience leading delivery teams, including onshore and offshore team members
  • 6+ years of experience gathering non-functional requirements and defining application architecture frameworks, including validation and testing deliverables
  • 5+ years of experience working in an AI environment
  • 5+ years of experience translating requirements into client ready design documents
  • 5+ years of experience in software application architecture analysis, design, and delivery
  • 5+ years of experience executing full system development life cycle implementations

Preferred Qualifications:
  • Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect
  • 5 + years of experience in Data Science, Statistics, and Machine Learning
  • 5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing
  • 5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment
  • 5+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.

TS/SCI with Polygraph Required Day 1
Salary & Benefits
The salary associated with this position ($99,000-$206,000) is commensurate with the selected candidate's qualifications, years of relevant experience, and demonstrated level of expertise. Compensation will be determined based on these factors to ensure alignment with skills, responsibilities, and market standards.
Nightwing offers medical, vision and dental insurance coverage in addition to a 401k plan, PTO, Holidays, and additional insurances.
Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.