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

Bright Vision Technologies

ML Data Engineer

Sterling, VA · Remote

$100K - $150K/yr

ML Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

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 ...

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 ...

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 ...

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.

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 ...

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 ...

VTG

Data Engineer

Chantilly, VA

$140K - $195K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with non-relational and semi-relational databases

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 ...

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.

Fantom Corporation

Data Engineer

Mclean, VA

$115K - $139K/yr

We are seeking a Data & Software Engineer to join a small, agile team developing advanced data ... Integrate AI/ML services, machine learning models, and advanced analytics capabilities into ...

Cape Fox SS

Data Engineer

Fort Belvoir, VA · On-site

$185K - $220K/yr

MLOps/ML workflows; Data Mesh/Data Fabric; real-time streaming; AWS Certified Data Analytics ... engineering/database administration. Advanced proficiency in Python, SQL, Java, Scala; ETL/ELT ...

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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 7, 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?

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:
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Data Engineer Ml jobs near you

ML Data Engineer

Bright Vision Technologies

Sterling, VA • Remote

$100K - $150K/yr

Full-time

Posted 6 days ago

Job description

ML Data Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
Job Title: ML Data Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
Job Summary
We are seeking an ML Data Engineer  to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
 
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.
How to Apply
 Would you like to know more about this opportunity? For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer. 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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