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Parttime Software Developer Jobs in Philadelphia, PA

... 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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Parttime Software Developer information

See Philadelphia, PA salary details

$48.4K

$112.9K

$167.5K

How much do parttime software developer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for parttime software developer in Philadelphia, PA is $112,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $131,200.00 per year, depending on experience, location, and employer.

How do parttime software developers typically balance project deadlines and workload with reduced hours?

Part-time software developers often coordinate closely with their teams to ensure tasks are clearly defined and deadlines are realistic given their limited availability. Effective communication and setting expectations with both management and colleagues are crucial for managing workload. Many part-time developers use project management tools to track progress and prioritize tasks, which helps maintain productivity without overextending themselves. Flexible scheduling and regular check-ins can further support a healthy work-life balance while meeting project goals.

What is the difference between Parttime Software Developer vs Parttime Web Developer?

AspectParttime Software DeveloperParttime Web Developer
Required SkillsProgramming languages, software design, testingHTML, CSS, JavaScript, web frameworks
Work EnvironmentSoftware companies, tech firms, freelance projectsWeb agencies, freelance, in-house web teams
Common CertificationsNone specific, often programming certificationsNone specific, often web development courses
Industry UsageSoftware development, app creationWebsite and web app creation

Parttime Software Developers focus on creating software applications using programming languages and software design principles, often working in tech companies or as freelancers. In contrast, Parttime Web Developers specialize in building websites and web-based applications using HTML, CSS, and JavaScript. While both roles require technical skills, their focus areas differ, making them suitable for different project types and industries.

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

To thrive as a Part-time Software Developer, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience. Familiarity with development tools such as Git, integrated development environments (IDEs), and common frameworks or languages like JavaScript, Python, or Java is typically required. Excellent time management, communication, and the ability to quickly adapt to new projects are crucial soft skills in this role. These competencies enable efficient project contributions, effective collaboration, and the ability to deliver high-quality code within limited hours.

What is a parttime software developer?

A Parttime Software Developer is a professional who writes, tests, and maintains software applications but works fewer hours than a standard full-time employee, usually less than 40 hours per week. They may work flexible schedules or specific days, depending on the employer's needs. Parttime software developers often take on projects, bug fixes, or support roles, and their responsibilities can vary by company and project. This role is ideal for individuals who want to balance work with other commitments, such as education or family. Parttime developers can work in various industries, including technology, finance, healthcare, and more.
What are the most commonly searched types of Parttime Software Developer jobs in Philadelphia, PA? The most popular types of Parttime Software Developer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Parttime Software Developer jobs? Cities near Philadelphia, PA with the most Parttime Software Developer job openings:

Quantitative Analyst Associate (2027)

Philadelphia Phillies - Baseball Operations

Philadelphia, PA โ€ข On-site

Part-time

Posted 2 days ago

New


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.