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Python Programmer Part Time Jobs in Virginia (NOW HIRING)

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98.30K - $124K/yr

Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting ... In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ...

Booz Allen Hamilton

Product Engineering Intern

Mclean, VA · On-site

$55.20K - $126K/yr

Experience with Python programming for automation and API integration * Experience with REST APIs ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99.10K - $125K/yr

In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99.10K - $125K/yr

In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to ...

Booz Allen Hamilton, Inc.

DevOps Engineer, Senior

Mclean, VA · On-site

$77.60K - $176K/yr

... Python * 5+ years of experience in the development of tools and processes to drive DevOps or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.90K - $136.80K/yr

Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree ... Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be ...

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Python Programmer Part Time information

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

As of May 30, 2026, the average hourly pay for python programmer part time in Virginia is $67.52, according to ZipRecruiter salary data. Most workers in this role earn between $61.97 and $71.49 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Programmer Part Time, and why are they important?

To thrive as a Python Programmer Part Time, you need a solid understanding of Python programming, algorithms, and problem-solving, often supported by a degree in computer science or equivalent experience. Familiarity with tools like Git, popular frameworks (such as Django or Flask), and experience with databases are typically required. Strong time management, communication, and the ability to work independently make someone stand out in this role. These skills are important to deliver high-quality code efficiently, collaborate remotely, and meet project deadlines in a flexible work environment.

How do part-time Python Programmers typically collaborate with full-time team members on projects?

Part-time Python Programmers often work closely with full-time colleagues through regular check-ins, code reviews, and shared project management tools. Clear communication and well-documented code are essential, as part-time team members may need to stay updated on project changes between shifts. Many organizations support this collaboration by using platforms like Slack, Jira, or GitHub to streamline workflows and ensure everyone stays aligned. This structure allows part-time programmers to contribute effectively while maintaining flexibility in their schedules.

What does a part-time Python programmer do?

A part-time Python programmer is responsible for writing, testing, and maintaining code using the Python programming language, but works fewer hours than a full-time employee. They may develop web applications, scripts, data analysis tools, or automation solutions, depending on the employer's needs. Part-time Python programmers often collaborate with other team members, troubleshoot bugs, and help optimize code for performance and scalability. Their flexible schedules make them ideal for projects that require specialized skills without the commitment of a full-time role.

What is the difference between Python Programmer Part Time vs Python Developer?

AspectPython Programmer Part TimePython Developer
CredentialsBasic programming knowledge, possibly some certificationsAdvanced programming skills, certifications often preferred
Work EnvironmentFreelance, remote, or part-time rolesFull-time or project-based, often in teams
Industry UsageUsed across startups, small businesses, freelance projectsCommon in tech companies, software firms, and larger organizations

Python Programmer Part Time typically involves flexible, freelance, or part-time roles focusing on coding tasks, while Python Developer usually refers to full-time positions with broader responsibilities including design and development. Both roles require strong Python skills, but the scope and commitment differ.

What are the most commonly searched types of Python Programmer jobs in Virginia? The most popular types of Python Programmer jobs in Virginia are:
What are popular job titles related to Python Programmer Part Time jobs in Virginia? For Python Programmer Part Time jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Python Programmer Part Time jobs in Virginia look for? The top searched job categories for Python Programmer Part Time jobs in Virginia are:
Python Programmer Part Time jobs near you

Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

TRIAEM, LLC

Sterling, VA

$105.50K - $144.90K/yr

Part-time

Posted 29 days ago

Job description


Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

Active TS/SCI Required
Location: Chantilly, Va or Springfield, Va

We are seeking a Senior AI/ML Modeling, Simulation & Analysis (MS&A) Engineer to support NGA mission initiatives focused on AI modernization, model assurance, and verification frameworks. This part-time role provides high-level technical advisory support across AI/ML strategy, verification, validation, and explainability efforts in classified GEOINT environments.

This is a senior-level opportunity for an experienced engineer who understands both the operational mission and the rigor required for trusted AI systems in national security applications.

Key Responsibilities

  • Conduct AI/ML gap analyses assessing impact across intelligence, command and control, targeting, autonomous systems, and training environments.
  • Provide subject matter expertise in AI Assurance, Independent Verification & Validation (IV&V), and Explainable AI (XAI).
  • Support Analysis of Alternatives (AoA), Design of Experiments (DoE), trade studies, and engineering assessments.
  • Advise Government stakeholders on strategic technical planning, performance engineering, and risk management.
  • Develop quantitative and qualitative metrics to ensure confidence and trust in AI models.
  • Contribute to AI Assurance frameworks including V&V-as-a-Service and advanced T&E methodologies.
  • Evaluate system architectures, cloud capabilities, CI/CD pipelines, and automation workflows.
  • Collaborate across NGA, NSG, IC partners, and industry teams to advance enterprise AI strategy.

Required Qualifications

  • Active TS/SCI clearance (required).
  • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or related STEM field (or equivalent senior-level experience).
  • Demonstrated experience in AI model verification, validation, and evaluation (IV&V / T&E).
  • Experience supporting AI Assurance and/or Explainable AI (XAI) initiatives.
  • Proficiency in programming languages such as Python, C++, MATLAB, R, or Java.
  • Experience developing engineering solutions leveraging AI, automation, and augmentation technologies.

Desired Qualifications

  • Experience supporting NGA or Intelligence Community programs.
  • Familiarity with DevSecOps, CI/CD pipelines, and cloud-based AI environments.
  • SAFe Agile and/or Model-Based Systems Engineering (MBSE).
  • Experience with Atlassian tools (JIRA, Confluence).
  • Experience working with structured and unstructured Big Data.