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

Hatch IT

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The role combines data engineering, applied data science, and production ML responsibilities and emphasizes reproducibility, testing, secure deployment, technical communication, and continuous ...

Hatch IT

Data Engineer

Washington, DC

$129K - $155K/yr

The role combines data engineering, applied data science, and production ML responsibilities and emphasizes reproducibility, testing, secure deployment, technical communication, and continuous ...

Intellectix

Data Scientist

Springfield, VA

Collaborate with engineering and product development teams. Qualifications: Education/Experience: * 5+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analyst and a ...

Intellectix

Data Scientist

Springfield, VA · On-site

Collaborate with engineering and product development teams. Qualifications: Education/Experience: * 5+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analyst and a ...

Expression

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The role combines data engineering, applied data science, and production ML responsibilities and emphasizes reproducibility, testing, secure deployment, technical communication, and continuous ...

Cornerstone Defense

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 ...

Expression

Data Engineer

Arlington, VA

$131K - $158K/yr

The role combines data engineering, applied data science, and production ML responsibilities and emphasizes reproducibility, testing, secure deployment, technical communication, and continuous ...

Expression Networks

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The role combines data engineering, applied data science, and production ML responsibilities and emphasizes reproducibility, testing, secure deployment, technical communication, and continuous ...

ECS

Data Engineer

Springfield, VA · On-site

$110K - $165K/yr

Everforth ECS seeks a Data Engineer to support a project team responsible for managing an ... Extract, transform, and load data to prepare for ingest into Machine Learning (ML) development ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines. * Deploy and ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines. * Deploy and ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines. * Deploy and ...

MANTECH

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

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

VTG

Data Engineer

Chantilly, VA · On-site

$140K - $195K/yr

Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms that support analytics, AI/ML, and business intelligence initiatives. This role focuses on cloud ...

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Showing results 1-20

All JobsData Engineer Ml JobsData Engineer Ml Jobs in Reston, VA

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 Aug 27, 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 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 are the key skills and qualifications needed to thrive as a data engineer ML?

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.

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 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.

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 job categories do people searching Data Engineer Ml jobs in Reston, VA look for?

The top searched job categories for Data Engineer Ml jobs in Reston, VA 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 Ml jobs near you

Data/Modeling Engineer (ML Data Engineer)

CloudBCLabs

Reston, VA • On-site

$119K - $143K/yr

Other

Posted 3 days ago

New

Job description

Position:  Data/Modeling Engineer (ML/Data Engineer)
Location: Reston, VA (Hybrid)
Duration: Long term
Required Skills & Experience
• Strong experience with AWS and ML engineering
• Proficiency in Python and MLflow
• Hands on expertise with Domino and SageMaker SDKs
• Experience with feature engineering and scalable data pipelines
• Knowledge of model validation, explainability, and bias/fairness tooling
• Familiarity with Git based workflows, version control, and MLOps practices
Focused on manipulating data in a software engineering capacity.
Some of that data might live in relational systems, but its increasingly moving towards NoSQL systems and data lakes.
Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information.
Construct datasets that are easy to analyze and support company requirements.
Combine raw information from different sources to create consistent and machine-readable formats.
Skills:
This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow.
 Education/Work Exprerience:
1) Bachelor degree in Computer Science, Information Systems or related field
2) Post-graduate degree desired
3) Professional certification(s) desired 15+ years relevant experience

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