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Machine Learning Data Engineer Jobs in Virginia (NOW HIRING)

Cymertek

Machine Learning Engineer

Chantilly, VA

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Cymertek

Machine Learning Engineer

Tysons, VA

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Cymertek

Machine Learning Engineer

Reston, VA

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Cymertek

Machine Learning Engineer

Reston, VA

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Acuity INC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Support Big Data, Advanced Analytics, and Machine Learning use cases from a data engineering perspective * Maintain documentation for pipelines, transformations, data flows, and operational ...

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site

The ideal candidate brings a strong foundation in machine learning, data engineering, and MLOps, along with experience working in secure, regulated environments. This position requires collaboration ...

Acuity INC

Data Engineer

Reston, VA

$119K - $143K/yr

Support Big Data, Advanced Analytics, and Machine Learning use cases from a data engineering perspective * Maintain documentation for pipelines, transformations, data flows, and operational ...

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site +1

The ideal candidate brings a strong foundation in machine learning, data engineering, and MLOps, along with experience working in secure, regulated environments. This position requires collaboration ...

Luck Stone

AI Engineer

Manakin Sabot, VA

$106K - $128K/yr

Leveraging a strong background in machine learning, artificial intelligence, and data science, the AI engineer will design, develop, and deploy AI solutions to address business challenges and ...

Ametek

Machine Learning Engineer

Herndon, VA · Hybrid

We are seeking an earlycareer Machine Learning Engineer who is excited to grow rapidly by building ... Develop and maintain feature engineering pipelines, data preprocessing flows, and training ...

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All JobsMachine Learning Data Engineer JobsMachine Learning Data Engineer Jobs in Virginia

Machine Learning Data Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do machine learning data engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for machine learning data engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Data Engineer position, and why are they important?

To thrive as a Machine Learning Data Engineer, you typically need strong programming skills in Python or Scala, a deep understanding of data structures, algorithms, and machine learning concepts, as well as a degree in computer science or a related field. Experience with big data tools like Spark, Hadoop, and cloud platforms such as AWS or Azure, along with knowledge of data pipelines and ETL processes, is highly valuable; certifications in these areas can be advantageous. Problem-solving ability, attention to detail, and strong communication skills help professionals excel when working with diverse technical teams and stakeholders. These skills ensure data engineers can effectively build reliable, scalable data systems that support the development and deployment of machine learning models.

Can a data engineer become a machine learning engineer?

A data engineer can transition to a machine learning engineer role by gaining knowledge of machine learning algorithms, model development, and deployment techniques. Skills in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and understanding of data pipelines are essential for this progression.

Which 5 jobs will survive AI?

Machine Learning Data Engineers are likely to continue to be in demand as AI advances because they develop and maintain the data pipelines and models essential for AI systems. Roles that require complex problem-solving, creativity, and human judgment, such as healthcare professionals, educators, skilled trades, and certain managerial positions, are also expected to persist despite AI automation. These jobs often involve tasks that are difficult for AI to replicate fully.

What is a Machine Learning Data Engineer job?

A Machine Learning Data Engineer is responsible for designing, building, and maintaining the data infrastructure that supports machine learning models. They develop data pipelines, ensure data quality, and optimize data storage for efficient processing. This role involves working with large-scale datasets, implementing ETL processes, and collaborating with data scientists to deploy machine learning models. Strong knowledge of databases, cloud platforms, and programming languages like Python and SQL is essential. Their work enables organizations to leverage machine learning effectively by providing reliable and scalable data solutions.

What are the typical daily responsibilities of a Machine Learning Data Engineer?

As a Machine Learning Data Engineer, your daily responsibilities often include designing, building, and maintaining data pipelines that efficiently move and transform data for machine learning applications. You may clean, preprocess, and validate large datasets, optimize storage solutions, and work closely with data scientists to ensure data is accessible and usable for model training and evaluation. Regular collaboration with software engineers and business analysts is common to align project goals and solve data-related challenges. Staying up to date with the latest tools and technologies is also important, as you'll help enable scalable and efficient deployment of machine learning solutions.

What engineers make $500,000?

Senior machine learning data engineers with extensive experience, advanced skills in data pipelines, cloud platforms, and machine learning frameworks can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level typically requires a combination of technical expertise, leadership roles, and often stock options or bonuses.

Is ML a high paying job?

Machine Learning Data Engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming, data modeling, and machine learning frameworks. Salaries vary by experience, location, and industry, but overall, the role is considered well-compensated within the tech field.
What are popular job titles related to Machine Learning Data Engineer jobs in Virginia? For Machine Learning Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Data Engineer jobs in Virginia look for? The top searched job categories for Machine Learning Data Engineer jobs in Virginia are:
Machine Learning Data Engineer jobs near you
Senior Data Scientist / AI Machine Learning Research Engineer

Senior Data Scientist / AI Machine Learning Research Engineer

CACI International, Inc.

Sterling, VA • On-site

$113K - $237K/yr

Full-time

Medical, Retirement, PTO

Posted 22 days ago

Job description

Job Title: Senior Data Scientist / AI Machine Learning Research Engineer
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
* * *
The Opportunity:
CACI has an exciting new opportunity for a Senior AI and Machine Learning Research Engineer. Apply machine learning, statistics, to develop algorithms to solve challenging problems, signal processing, and computer networking domains. In this role, you'll leverage your strong foundation in machine learning, data science, and signal processing to solve complex challenges in the RF domain.
Responsibilities:
1. Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries.
2. Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing.
3. Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment.
4. Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
5. Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles.
Qualifications:
Required:
  • Master's degree in quantitative field with mathematical underpinnings and at least 7 years' experience.
  • Experience developing models,.
  • Strong background in machine learning, mathematics and statistics.
  • Comfortable using Linux operating systems and commonly used Linux utilities.
  • Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract
  • Must have active Top Secret Clearance with the ability to obtain SCI with Polygraph

Desired:
  • Ph.D. in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics.
  • Experience applying machine learning to signal processing and/or other time-series data analysis applications.
  • Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests.
  • Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance.
  • Active Top Secret/SCI clearance preferred.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$113,200 - $237,800
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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