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Parttime Software Engineer Jobs in Doylestown, PA

Deloitte

Manager - Cloud DevSecOps

Philadelphia, PA · On-site

... engineering teams initiate governance/security processes (e.g., rationalizing questionnaires ... Advance software supply chain security (e.g., dependency risk, artifact integrity, code signing ...

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All JobsParttime Software Engineer JobsParttime Software Engineer Jobs in Doylestown, PA

Parttime Software Engineer information

See Doylestown, PA salary details

$62.2K

$144.5K

$201.2K

How much do parttime software engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for parttime software engineer in Doylestown, PA is $144,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $169,400.00 per year, depending on experience, location, and employer.

What is a parttime software engineer?

Part-time software engineers are professionals who design, develop, and maintain software applications or systems while working fewer hours than the standard full-time schedule, typically less than 35-40 hours per week. They perform similar tasks as full-time engineers, such as coding, debugging, and collaborating with teams, but on a reduced or flexible schedule. Part-time roles may be ideal for students, parents, or those seeking work-life balance, and can be found in a variety of industries and companies.

What are the key skills and qualifications needed to thrive as a parttime software engineer?

To thrive as a Part-time Software Engineer, you need strong programming skills, a solid grasp of software development principles, and typically a degree in computer science or related field. Familiarity with development tools like Git, cloud platforms, and frameworks such as React or Django, as well as experience with agile methodologies, are commonly required. Excellent time management, communication, and adaptability are important soft skills, especially when balancing multiple commitments or working remotely. These skills ensure that part-time engineers can deliver high-quality code efficiently and collaborate effectively within teams, despite limited work hours.

How do parttime software engineers typically balance project responsibilities with limited weekly hours?

Part-time software engineers usually coordinate closely with their team leads to define clear, manageable tasks that fit within their available working hours. Regular check-ins, transparent communication, and prioritizing critical features or bug fixes help ensure progress aligns with the overall project timeline. Many teams use agile methodologies and project management tools to help part-time engineers stay integrated and productive. This setup allows for flexibility while maintaining high standards of code quality and collaboration with full-time colleagues.

What is the difference between Parttime Software Engineer vs Full-Time Software Engineer?

AspectParttime Software EngineerFull-Time Software Engineer
Work HoursLess than 30 hours/weekTypically 40 hours/week
CredentialsSame as full-time, often includes relevant degrees and certificationsSame as part-time, often includes relevant degrees and certifications
Work EnvironmentFlexible, often remote or freelance projectsOffice or remote, full-time employment
Employer UsageFreelance, startups, or companies hiring part-time rolesEstablished companies, tech firms, and corporations

Parttime Software Engineers work fewer hours and often have flexible schedules, making them ideal for freelance or project-based roles. Full-Time Software Engineers work standard hours with more stability and benefits. Both roles require similar skills and credentials, but differ mainly in hours and employment structure.

What cities near Doylestown, PA are hiring for Parttime Software Engineer jobs?

Cities near Doylestown, PA with the most Parttime Software Engineer job openings:

Parttime Software Engineer jobs near you

Quantitative Analyst Associate (2027)

Philadelphia Phillies - Baseball Operations

Philadelphia, PA • On-site

Part-time

Posted 13 days ago

Job description

Title: Quantitative Analyst Associate
Department: Baseball Research & Development
Reports to: Lead/Senior Quantitative Analyst
Status: Hourly Part-Time Seasonal
Position Overview:
As a Quantitative Analyst (QA) Associate, you help shape The Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data. You do more than just crunch the numbers; you carefully plan the design of your own studies by asking and answering the right questions, while also working collaboratively with other analysts and software engineers on larger projects.
Using analytical rigor, you work with your team as you mine through data and see opportunities for The Phillies to improve. After communicating the results of your studies and experiments to Baseball Operations leadership and executive staff, you collaborate with front office executives, scouts, coaches, and trainers to incorporate your findings into Phillies practices. Identifying the challenge is only half the job; you also work to figure out and implement the solution.
Responsibilities:
  • Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications (e.g., performance projections, player valuations, draft assessments, injury analyses, etc.)
  • Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
  • Assist the rest of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
  • Continually enhance your knowledge of baseball and data science through reading, research, and discussion with your teammates and the rest of the front office
  • Provide input to database architecture to ensure efficient application of baseball data

Required Qualifications:
  • Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
  • Meaningful experience programming, using analytical software (Python, R, or similar), and interacting with databases
  • Proven willingness to both teach others and learn new techniques
  • Willingness to work as part of a team on complex projects
  • Proven leadership and self-direction

Preferred Qualifications:
  • Possess or are pursuing a BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
  • 0-5+ years of relevant work experience
  • Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions

To be considered, all candidates must submit a response for the prompt below:
In player evaluation, some metrics are highly predictive of future performance but provide limited information about why a player will succeed or fail. Other metrics may be less predictive on their own but can help identify specific strengths, weaknesses, or opportunities for improvement.
Assume you have access to several years of professional baseball data, including traditional statistics, pitch- or play-level tracking data, scouting evaluations, player demographics, injury history, and minor-league level and park context.
In 250 words or less, describe how you would determine which information should be included in a player projection model and which information should instead be used primarily to explain, diagnose, or contextualize the projection. Discuss how you would evaluate a metric that improves historical model accuracy but may not remain stable over time, may duplicate information contained in other variables, or may be difficult to obtain consistently for all players.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

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