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Part Time Python Coding Jobs in Washington (NOW HIRING)

Bechtel

AI Solutions Engineer

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Establish and enforce AI coding standards and development best practices across the AI programme, ...

Booz Allen Hamilton, Inc.

AI & ML Engineer

Arlington, VA · On-site

$128K - $292K/yr

You Have: * 5+ years of experience engineering code in an object-oriented language such as Python ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Capital One

Director, Staff Engineer

Mclean, VA · On-site

... coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc. * 8+ ... Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be ...

Booz Allen Hamilton, Inc.

Software Engineer

Mclean, VA · On-site +1

$69K - $158K/yr

Use VS Code through Remote SSH into standardized Windows and Linux build VMs. * Participate in ... You Have: * 2+ years of experience with programming languages, including Go, C++, or Python

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Part Time Python Coding information

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

As of Sep 9, 2026, the average hourly pay for part time python coding in Washington is $66.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.43 per hour, depending on experience, location, and employer.

What is a part-time Python coding job?

A part-time Python coding job involves working fewer hours than a full-time position, typically between 10 to 30 hours per week, using the Python programming language. These roles can include tasks like writing and testing code, automating processes, developing web applications, or analyzing data. Part-time Python coding jobs are often flexible and may be remote, making them suitable for students, freelancers, or those seeking supplementary income. They are available in various industries such as technology, finance, education, and healthcare.

What are some common responsibilities and challenges for part-time Python coding positions?

Part-time Python coding roles typically involve working on specific projects or tasks such as debugging, developing new features, or maintaining existing codebases. A common challenge is managing time effectively, as you may need to balance multiple priorities or adapt quickly to changing project requirements. Additionally, part-time coders often collaborate remotely with full-time team members, so strong communication skills and self-motivation are essential. This role can be a great way to gain experience, expand your portfolio, and build connections within a development team.

What are the key skills and qualifications needed to thrive as a part-time Python coding professional, and why are they important?

To excel in a Part Time Python Coding role, you need strong proficiency in Python programming, familiarity with core libraries, and at least a basic understanding of software development principles, often supported by a relevant degree or coding certifications. Experience with version control systems like Git, common frameworks such as Django or Flask, and basic database management are typically required. Self-motivation, effective time management, and clear communication help part-time coders deliver quality work and collaborate remotely. These skills ensure that projects are completed efficiently, code quality remains high, and team objectives are met even with limited hours.

What is the difference between Part Time Python Coding vs Part Time Data Analysis?

AspectPart Time Python CodingPart Time Data Analysis
Required SkillsPython programming, scripting, basic data handlingData interpretation, statistical analysis, Python or Excel skills
Work EnvironmentRemote or freelance projects, tech companies, startupsBusiness environments, research firms, consulting agencies
Common CertificationsPython certifications, coding bootcampsData analysis certifications, Excel or statistical courses

Part Time Python Coding focuses on scripting and software development using Python, often in tech or startup settings. Part Time Data Analysis involves interpreting data sets to inform business decisions, frequently requiring statistical skills. Both roles often require similar technical certifications and can be performed remotely, but they serve different industry needs and job functions.

Are part time Python coders in demand?

Part time Python coders are in demand due to the language's widespread use in data analysis, web development, and automation. Many companies seek flexible, skilled programmers for short-term projects, especially those proficient in frameworks like Django or Flask and familiar with version control tools. The demand varies by industry and location but generally remains steady for qualified part time Python developers.

Are part time Python coding still in demand in 2026?

Part-time Python coding roles remain in demand in 2026 due to ongoing needs for automation, data analysis, and software development across industries. Skills in frameworks like Django or Flask and familiarity with cloud platforms can enhance job prospects for part-time Python developers.

What are the most commonly searched types of Python Coding jobs in Washington?

The most popular types of Python Coding jobs in Washington are:

What are popular job titles related to Part Time Python Coding jobs in Washington?

For Part Time Python Coding jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Part Time Python Coding jobs in Washington look for?

The top searched job categories for Part Time Python Coding jobs in Washington are:

Part Time Python Coding jobs near you
Infographic showing various Part Time Python Coding job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 5% Part Time, 2% Temporary, and 9% Contract. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution, with an average salary of $138,100 per year, or $66.4 per hour.

AI Solutions Engineer

Reston, VA • On-site

Bechtel
See more jobs at Bechtelexternal

Full-time, Part-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

286th of 454 rated engineering

Job description

Requisition ID: 297512
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Reston, VA
  • Salary Range: 123,400 - 178,500 annually (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.)

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
The AI Program is a strategic cross-business initiative delivering AI capabilities at scale across Bechtel Infrastructure as part of the wider Execution Transformation Initiative. The AI Program relies on rigorous technical assurance to ensure that AI models, agents, and coding solutions deployed across Bechtel meet quality, safety, and accuracy standards. As AI capabilities scale from pilots to production, structured validation frameworks, coding standards, and Human-in-the-Loop (HITL) review processes are essential to maintaining trust in AI-driven outputs.
The AI Solutions Engineer will serve as the technical quality authority within the AI programme, responsible for establishing and enforcing AI coding standards, validating machine learning models and AI agents, and maintaining robust testing frameworks that safeguard the integrity of AI solutions across the organisation. This role reports to the Data Solutions Architect and works in close collaboration with the AI Portfolio & Governance Manager and functional AI leads.
"This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership" #LI-RM1
Major Responsibilities:
  • Establish and enforce AI coding standards and development best practices across the AI programme, ensuring consistent quality and maintainability of AI solutions.
  • Validate machine learning models and AI agents against defined performance, accuracy, and safety criteria prior to deployment.
  • Serve as the Human-in-the-Loop (HITL) reviewer, providing structured oversight and approval authority for AI-generated outputs. Conduct solution assurance reviews prior to the deployment or broader rollout of AI capabilities across business units.
  • Design, implement, and maintain testing frameworks and evaluation pipelines for AI solutions including LLM-based applications and agentic workflows.
  • Collaborate with Data Solutions Architect to ensure AI solutions align with platform architecture, data governance standards, and security requirements.
  • Identify and mitigate risks related to model performance, hallucination, bias, and data quality, proposing and implementing corrective actions.
  • Maintain documentation of model performance benchmarks, test results, and validation outcomes to support programme governance.
  • Support the integration of AI agents and large language model (LLM)-based tools into project delivery workflows.
  • Contribute to the development of technical AI governance policies, responsible AI frameworks, and operational guardrails for the AI Program.
  • Research emerging AI and machine learning technologies, including developments in large language models, AI agents, evaluation techniques, and model deployment patterns, to ensure the AI Program adopts appropriate, current, and technically robust solutions.
  • Provide technical training, guidance, and coaching to the AI Program Team to build internal capability, strengthen technical expertise, and promote consistent application of AI engineering, testing, and assurance practices.

Education and Experience Requirements:
  • Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.
  • 7+ years or more of experience in AI/ML engineering or data science roles.

Required Knowledge and Skills:
  • Proficiency in Python and experience with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or Hugging Face).
  • Demonstrated experience in AI model validation, testing, and quality assurance, including evaluation of LLM or generative AI outputs.
  • Experience designing AI evaluation frameworks, test cases, benchmarks, or quality gates for machine learning, generative AI, or LLM-based solutions. Preferably hands-on with the tooling provided in Databricks
  • Understanding of large language models (LLMs), AI agents, prompt engineering, and agentic frameworks.
  • Strong analytical and problem-solving skills with high attention to detail and a rigorous approach to quality.
  • Ability to communicate technical findings and assurance outcomes clearly to both technical and non-technical stakeholders.
  • Experience preparing clear technical documentation, validation reports, model performance summaries, or governance evidence for AI/ML solutions.
    Preferred Qualifications
  • Experience with MLOps platforms and model deployment pipelines (e.g., Azure Machine Learning, MLflow, or equivalent).
  • Familiarity with responsible AI frameworks, bias detection methodologies, and model governance practices.
  • Experience with agentic AI platforms such as Microsoft Copilot Studio, AutoGen, LangChain, or similar frameworks.
  • Hands-on experience with Azure cloud services and DevOps practices including CI/CD pipelines and version control (Git).
  • Experience providing technical guidance, coaching, or training to engineering, data, or AI delivery teams.
  • Knowledge of EPC industry workflows, engineering data standards, and project delivery environments.
  • Experience with RAG (Retrieval-Augmented Generation) architectures and enterprise AI deployment patterns.
  • Demonstrated commitment to staying current with emerging AI, machine learning, LLM, and agentic AI technologies and translating relevant developments into practical implementation guidance.

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
At Bechtel, our employees enjoy a competitive total rewards package that includes comprehensive medical, dental, and vision plans, along with optional disability and supplemental insurance options, generous paid time off (160 hours annually, accrued 6.16 hours per pay period), nine paid holidays, paid parental leave, discretionary bonuses, and a well-designed 401K plan with matching and profit-sharing components
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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