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Summer Python Developer Jobs in New York (NOW HIRING)

KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

... summer or semester engagement. In this role, you will get hands-on experience building data ... Python - basic to intermediate proficiency; comfortable writing scripts and small programs * SQL ...

Massar Capital

Data Engineer

New York, NY · On-site

$150K - $200K/yr

... Python (inc. Numpy & Pandas) as well as significant experience with SQL, as a software developer ... Comprehensive benefits package including medical, dental, vision, 401(k), insurance, Summer ...

Octaura

Intern, Data Engineering

New York, NY · On-site

The Opportunity Octaura offers exciting summer internship opportunities, especially for those ... In this role you'll assist with developing Python-based data workflows, supporting cloud-based data ...

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Summer Python Developer information

What is the difference between Summer Python Developer vs Summer Data Analyst?

AspectSummer Python DeveloperSummer Data Analyst
Required SkillsPython programming, software development, codingData analysis, SQL, Excel, statistical skills
Work EnvironmentSoftware companies, tech startups, development teamsBusiness, finance, marketing departments
Common CertificationsPython certifications, coding bootcampsData analysis certifications, Excel certifications

Summer Python Developers focus on coding and building software applications using Python, often working in tech environments. Summer Data Analysts analyze data sets to generate insights, typically in business or finance sectors. While both roles may require some overlapping skills like problem-solving, their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Python Developer jobs in New York? The most popular types of Python Developer jobs in New York are:
What cities in New York are hiring for Summer Python Developer jobs? Cities in New York with the most Summer Python Developer job openings:
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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

$11K - $13K/mo

Part-time

Posted 28 days ago

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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