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Python Developer Part Time Jobs in Stamford, CT (NOW HIRING)

New York University

Research Scholar

New York, NY · On-site

$50/hr

Description PART TIME RESEARCH SCHOLAR New York University Tandon School of Engineering The ... Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in ...

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$27/hr

Description Part-Time Research Scholar Biomedical Engineering New York University Biomechatronics ... MATLAB, Python, or R and training in statistical signal processing, machine learning, and ...

Fora

Senior Analytics Engineer

New York, NY · On-site

$130 - $185K/hr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Experience with Python is a plus * Experience building and maintaining dbt projects in a production ...

Fora

Senior/Staff Backend Engineer

New York, NY · On-site

$155K - $225K/yr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Python, using Django / Flask / Alternative * High API and distributed systems design skills

C10 Labs

AI Fellow

New York, NY · On-site

$53K - $72K/yr

Studio Employment Type: Part Time Location: New York City Description Headquartered in Kendall ... Strong programming full stack skills in languages such as Python, R, or Java, with experience in ...

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

As of Jul 11, 2026, the average hourly pay for python developer part time in Stamford, CT is $62.51, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $71.01 per hour, depending on experience, location, and employer.

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

To thrive as a Python Developer Part Time, you need strong programming skills in Python, experience with frameworks like Django or Flask, and a background in computer science or related fields. Familiarity with version control systems like Git, databases such as PostgreSQL or MySQL, and cloud platforms is typically required. Effective time management, problem-solving abilities, and strong communication skills are essential soft skills for this role. These skills and qualities ensure you can efficiently deliver reliable code, collaborate with teams remotely, and adapt to project requirements in a flexible work environment.

What are the typical challenges faced by part-time Python Developers when integrating with full-time teams?

Part-time Python Developers often encounter challenges related to communication and staying updated with ongoing project developments, as they are not present during all team meetings or daily stand-ups. To overcome this, it's important to establish clear channels for asynchronous communication and regularly review project documentation or code repositories. Proactively syncing with team members and utilizing collaboration tools like Slack, Jira, or GitHub can help ensure smooth integration and contribution to the team's goals.

What are Python Developer Part Time jobs?

Python Developer Part Time jobs involve working with the Python programming language to build, maintain, or enhance software applications, but on a part-time basis. This means the developer typically works fewer hours than a full-time role, often ranging from 10 to 30 hours per week. Part-time Python developers may handle tasks like writing code, debugging, developing scripts, or integrating APIs, depending on the employer's needs. These roles are common in startups, remote teams, or companies with flexible work arrangements. The flexibility allows professionals to balance other commitments while contributing technical expertise.

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

AspectPython Developer Part TimePython Developer Full Time
Work HoursLess than 30 hours/week40 hours/week or more
SalaryPro-rated based on hoursFull salary with benefits
Job ResponsibilitiesFocused tasks, limited scopeBroader responsibilities, project involvement
Work EnvironmentRemote or flexibleOften office-based or hybrid

The main difference between Python Developer Part Time and Python Developer Full Time lies in work hours, compensation, and scope. Part-time roles offer flexibility with fewer hours and responsibilities, while full-time positions provide comprehensive engagement and benefits. Both roles require similar skills and credentials, but the commitment level varies.

What Does a Part-Time Python Developer Do?

Python is a programming language used for data analysis and visualization. Some of your responsibilities as a part-time Python developer are to write scalable and effective code, develop an application using user-facing elements, test and debug computer programs, and create backend components to improve performance and responsiveness. Your other duties include working within the existing framework to ensure that software fits the client’s needs, implementing data protection and security solutions, examining current systems to determine where improvements could be beneficial, and prioritizing and assessing feature requests to determine if these are feasible and something that you can implement.

More about Python Developer Part Time jobs
What are the most commonly searched types of Python Developer jobs in Stamford, CT? The most popular types of Python Developer jobs in Stamford, CT are:
What cities near Stamford, CT are hiring for Python Developer Part Time jobs? Cities near Stamford, CT with the most Python Developer Part Time job openings:
Python Developer Part Time jobs near you
Adjunct Lecturer, Solving Real World Problems with Analytics (ONLINE - Summer/Fall '26)

Adjunct Lecturer, Solving Real World Problems with Analytics (ONLINE - Summer/Fall '26)

Columbia University

New York, NY • On-site, Remote

$11K - $13K/mo

Part-time

Re-posted yesterday

Job description

Company Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional Master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
Columbia University, School of Professional Studies (SPS) seeks candidates to serve as part-time Lecturers to participate on the faculty team for a graduate level Capstone course: Solving Real World Problems with Analytics. This course is the culminating experience for graduate students in our Applied Analytics Master of Science degree program. Students apply their academic learning to a real-world challenge by participating in a consulting engagement with a leading corporate or institutional project sponsor. Capstone sponsors span industry sectors including finance, healthcare, consumer retail, digital media, non-profit. Sponsors include large global companies, startups, and nonprofits.
Lecturers are the primary instructors for courses and an invaluable component of the faculty community.
Responsibilities
  • Attend all class sessions. Weekly instructional sessions will be held on one of the following: Wed 6:10-8 PM ET, Thurs 6:10-8 PM ET, Thurs 8:10-10 PM ET.
  • Serve as a mentor and coach to students and a liaison with corporate project sponsors. Participate in meetings with sponsor companies & student project team.
  • Monitor and address student concerns and inquiries.
  • Conduct weekly office hours.
  • Serve as a liaison between students and corporate project sponsors. Participate in meetings with sponsor companies & student project teams.
  • Evaluate and grade student work and assessments.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
Requirements
  • Doctoral degree in an academic area related to data analytics.
  • 7+ years of professional experience in roles related to data analytics.
  • Strong technical skills - especially proficiency with R and Python programming.
  • Consulting experience, working with either external or internal clients.

Preferred Skills & Experience
  • 2+ years of teaching experience, ideally at the graduate level.

Additional Information
Salary range: $11,000 - $13,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran

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