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Mlops Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

R0239070 Data Engineer The Opportunity: Ever-expanding technology and collection methodologies ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

R0244707 Data Engineer The Opportunity: Ever-expanding technology and collection methodologies ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Understanding of machine learning workflows and MLOps concepts. Working at Edgesource: As an ISO ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Understanding of machine learning workflows and MLOps concepts. Working at Edgesource: As an ISO ...

Data Engineer

Centreville, VA · Hybrid

$113K - $136K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Understanding of machine learning workflows and MLOps concepts. Working at Edgesource: As an ISO ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Understanding of machine learning workflows and MLOps concepts. Working at Edgesource: As an ISO ...

Data Engineer

Chantilly, VA · On-site

$200K - $220K/yr

With overwhelming amounts of large data, client is seeking a data engineer to support data ... Understanding of machine learning workflows and MLOps concepts. Desired Qualifications (NOT ...

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 ... Familiarity with MLOps tools or platforms (e.g., SageMaker, MLflow). Full-Time Employee ...

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines ... Data Drift Detection : Implement drift detection pipelines using tools like Evidently AI or Alibi ...

Staff Data Engineer

Arlington, VA · On-site +1

$145K - $175K/yr

The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation ... Understanding of MLOps and experience with implementation of AI/ML technologies. Preferred ...

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines ... Data Drift Detection : Implement drift detection pipelines using tools like Evidently AI or Alibi ...

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines ... Data Drift Detection : Implement drift detection pipelines using tools like Evidently AI or Alibi ...

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines ... Data Drift Detection : Implement drift detection pipelines using tools like Evidently AI or Alibi ...

Showing results 21-40

Mlops Data Engineer information

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

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps Data Engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining machine learning models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

What are the key skills and qualifications needed to thrive as an MLOps data engineer?

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps data engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

What is an MLOps data engineer?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What is the salary of MLOps Data Engineer?

The salary of an MLOps Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with advanced skills in cloud platforms, automation, and machine learning tools may earn higher compensation.
What are popular job titles related to Mlops Data Engineer jobs in Virginia? For Mlops Data Engineer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Mlops Data Engineer jobs? Cities in Virginia with the most Mlops Data Engineer job openings:
Infographic showing various Mlops Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$77K - $176K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 11 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

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Job description

Data Engineer

The Opportunity:

Ever-expanding technology and collection methodologies means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources.

As a Data Engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data available and meaningful.Here, you'll work with a multi-disciplinary team of data engineers, developers, and data consumers in a fast-paced, agile environment.

Work with us to use data for good.

Join us. The world can't wait.

You Have:

  • 2+ years of experience with data pipelines, including data acquisition, data prep, and database architecture

  • 2+ years of experience in ETL development using Java, Python, SQL, or Scala

  • Experience with PostgreSQL or Kafka

  • Experience with AWS services

  • Experience with designing and implementing, containerizing, and deploying end-to-end automated data and ML pipelines, within a Cloud environment

  • Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem

  • Top Secret clearance

  • Bachelor's degree

Nice If You Have:

  • Experience with Kafka ecosystem tools,such as Kafka Connect and Kafka Streams

  • Experience with NiFi

  • Experience with infrastructure-as-code tools, such as Terraform or Ansible

  • Experience with Agile development methodologies

  • Experience working on real-time data and streaming applications

  • Ability to pay strict attention to detail

  • Possession of excellent problem-solving and analytical skills

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914