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Java Programmer Part Time Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton, Inc.

DevOps Engineer

Arlington, VA · On-site

$77K - $176K/yr

Experience with programming, including Python, Java, C, or C++ * Experience with Git technologies ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Back-End Developer

Mclean, VA · On-site

$86K - $198K/yr

Experience with Java * Experience with Docker containerization * Experience working with unbounded ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Arlington, VA · On-site +1

... Java with APIs and data services, including FastAPI, Flask, REST, GraphQL, or SQL, and software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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How much do java programmer part time jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for java programmer part time in Virginia is $54.70, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $62.21 per hour, depending on experience, location, and employer.

What kinds of projects or tasks do part-time Java Programmers typically work on?

Part-time Java Programmers are often assigned to specific features, modules, or maintenance tasks within a larger software project, allowing them to contribute effectively with a flexible schedule. They may focus on writing new code, fixing bugs, testing functionality, or updating existing systems based on set priorities. Collaboration with full-time developers, QA testers, and project managers is common, using tools like Jira or Slack to stay aligned with the team's progress. The work structure is generally goal-oriented, and regular check-ins help ensure part-time contributors are integrated and supported. This setup allows part-time programmers to make meaningful contributions without being tied to a full-time commitment.

Can you work part-time as a programmer?

Yes, Java programmers can work part-time, often taking on freelance or contract projects that require fewer hours. Many companies also offer part-time positions for programmers to accommodate flexible schedules or additional work commitments.

What is a Java Programmer Part Time job?

A Java Programmer Part Time job involves developing, testing, and maintaining Java applications while working fewer hours than a full-time position. Responsibilities may include coding, debugging, and collaborating with teams to enhance software functionality. These roles are ideal for students, freelancers, or professionals seeking flexible work schedules. Employers may require proficiency in Java, related frameworks, and problem-solving skills. Part-time Java programmers can work remotely or on-site, depending on the employer’s needs.

Is AI replacing Java developers?

AI is automating certain coding tasks and improving software development processes, but Java developers are still essential for designing, implementing, and maintaining complex applications. Skills in Java programming, problem-solving, and understanding AI tools can enhance a developer's role, but AI is more of a complement than a replacement for Java developers at this time.

Is Java outdated in 2026?

Java remains a widely used programming language in 2026, especially for enterprise applications, Android development, and backend systems. Java's ongoing updates, large ecosystem, and strong community support ensure its relevance for Java programmers, including part-time roles. Staying current with the latest Java versions and related frameworks is important for job competitiveness.

What are the key skills and qualifications needed to thrive in the Java Programmer Part Time position, and why are they important?

A Java Programmer Part Time typically requires proficiency in Java programming, a solid understanding of object-oriented design, and familiarity with software development lifecycle concepts, often backed by a degree in computer science or related experience. Experience with version control systems like Git, build tools such as Maven or Gradle, and optionally Java certification (e.g., Oracle Certified Associate) is beneficial. Strong problem-solving abilities, attention to detail, and effective time management are valuable soft skills for this role. These competencies are crucial for delivering quality code, meeting project deadlines, and successfully collaborating on part-time schedules.

Are Java programmers still in demand?

Java programmers remain in demand due to the language's widespread use in enterprise applications, Android development, and backend systems. Skills in Java, along with knowledge of frameworks like Spring and tools such as IDEs, continue to be valuable for employers seeking software developers. The demand is expected to stay steady as Java remains a core technology in many industries.
What are the most commonly searched types of Java Programmer jobs in Virginia? The most popular types of Java Programmer jobs in Virginia are:
What are popular job titles related to Java Programmer Part Time jobs in Virginia? For Java Programmer Part Time jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Java Programmer Part Time jobs in Virginia look for? The top searched job categories for Java Programmer Part Time jobs in Virginia are:
Java Programmer Part Time jobs near you
Infographic showing various Java Programmer Part Time job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $113,786 per year, or $54.7 per hour.
Sr. Lead Machine Learning Engineer

Sr. Lead Machine Learning Engineer

Capital One

Mclean, VA • On-site, Remote

Full-time, Part-time

Posted 8 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks

Job description

Sr. Lead Machine Learning Engineer
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

What you’ll do in the role:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
  • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
  • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Construct optimized data pipelines to feed ML models.
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
  • Use programming languages like Python, Scala, or Java.
Basic Qualifications:
  • Bachelor’s Degree
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • At least 4 years of experience programming with Python, Scala, or Java
  • At least 3 years of experience building, scaling, and optimizing ML systems
  • At least 2 years of experience leading teams developing ML solutions
Preferred Qualifications:
  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
  • 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow
  • 3+ years of experience developing performant, resilient, and maintainable code
  • 3+ years of experience with data gathering and preparation for ML models
  • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
  • 3+ years of experience building production-ready data pipelines that feed ML models
  • Ability to communicate complex technical concepts clearly to a variety of audiences
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer


 

McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer


 

New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer


 

San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer


 

San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer


 


 


 


 


 


 

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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