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Python Engineer Jobs in New York (NOW HIRING)

python developer

Jersey City, NJ · On-site

$55 - $75.75/hr

Python Developer Position Responsibilities Python Developer Location: jersey city New Jersey ( 3 days onsite 2 days remote) Look for nearby Candidates ( Only W2 required) Experience : Min 7 Years ...

Python Developer

Lake Success, NY · On-site

$55 - $75.75/hr

We are looking for Python Developer at Lake Success, NY on a Contract employment. Please find below the details of the position Job Title: Python Developer Job Location: Lake Success, NY Job Type:

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

For Python: PYTHON developer responsible for integrating the front-end elements into the application. The Python Developer is responsible for development, testing, and support of software using ...

Senior Software Engineer Hybrid in the NYC OR London office Job Type: Full-time Tech Stack: Typescript/React, Python/Django, AWS, dbt Don't worry too much about having experience with the specific ...

Python: Sr. Software Engineer and Engineering Managers Locations: NYC, Texas - Each Position Can Be On Site, Partially or 100% Remote 115k - 185K base with some flex - Fulltime Depending On ...

Python Developer

New York, NY · On-site

$55 - $75.75/hr

Python Developer We are looking for an Entry level/experienced Python developer with a background in shipping beautiful, high-performance, maintainable software to join our team. In this role you ...

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Python Engineer information

See New York salary details

$25.2K

$153.1K

$221.5K

How much do python engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for python engineer in New York is $153,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $180,000.00 per year, depending on experience, location, and employer.

Is Python coding still in demand?

Python engineering remains highly in demand across industries such as data science, web development, and automation due to its versatility and ease of use. Employers seek Python skills for roles involving machine learning, scripting, and backend development, often requiring knowledge of frameworks like Django or Flask and proficiency with version control tools.

Will AI replace Python coders?

AI is unlikely to fully replace Python engineers, as their role involves designing, maintaining, and optimizing complex systems that require human judgment and creativity. While AI tools can automate certain coding tasks, Python developers will continue to be essential for developing new algorithms, debugging, and integrating AI solutions. Staying updated with AI and machine learning skills can enhance a Python engineer's value in the evolving tech landscape.

What is the difference between Python Engineer vs Data Scientist?

AspectPython EngineerData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; Python proficiencyBachelor's or higher in Data Science, Statistics, or related; Python and analytical skills
Work EnvironmentSoftware development teams, coding, testing, deploymentData analysis, modeling, visualization, research
Employer & Industry UsageTech companies, startups, software firmsFinance, healthcare, e-commerce, research institutions
Common Search & ComparisonYesYes

Python Engineers focus on developing and maintaining software applications using Python, while Data Scientists analyze data to extract insights, often using Python for data manipulation and modeling. Both roles require Python skills but serve different primary functions within organizations.

What does a Python Engineer do?

A Python Engineer is a software professional who specializes in designing, developing, and maintaining applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, and machine learning. Python Engineers collaborate with other team members to write clean and efficient code, debug issues, and ensure the performance and scalability of applications. Their expertise in Python allows them to leverage its libraries and frameworks to solve complex problems across different industries.

How much does a Python engineer make?

The average salary for a Python engineer varies by experience and location but typically ranges from $80,000 to $130,000 annually. Senior Python developers with specialized skills in frameworks like Django or Flask and experience in data analysis or machine learning can earn higher salaries, often exceeding $150,000. Many roles also require proficiency in version control, testing, and deployment tools.

What do Python engineers do?

Python engineers develop, test, and maintain software applications using the Python programming language. They often work with frameworks like Django or Flask, write clean code, and collaborate with teams on data analysis, automation, or web development projects.

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

To thrive as a Python Engineer, you need strong programming skills in Python, a solid understanding of computer science fundamentals, and experience with software development practices, often supported by a relevant degree or certification. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure are typically required. Excellent problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for building scalable, maintainable code and collaborating efficiently within development teams.

How do Python Engineers typically collaborate with other team members during the software development lifecycle?

Python Engineers work closely with cross-functional teams, including front-end developers, QA testers, product managers, and DevOps specialists. Collaboration often involves participating in code reviews, daily stand-up meetings, and sprint planning sessions to ensure alignment on project goals and technical requirements. Effective communication and using collaborative tools like Git, Jira, and Slack are essential for managing tasks, sharing updates, and resolving issues efficiently. This teamwork-driven environment helps deliver high-quality software and supports continuous learning from peers.

What Does a Python Engineer Do?

As a Python engineer, your job is to use the Python programming language and develop code for your company. Your duties include creating a new application, integrating Python software with an existing system, or testing existing code to iron out bugs. Most employers hiring for this role have specific goals for projects in mind, and it is your job to turn those goals into reality in the most effective way. You’re also expected to use other programming skills, particularly involving Django, JavaScript, and database architecture.

What are the most commonly searched types of Python Engineer jobs in New York? The most popular types of Python Engineer jobs in New York are:
What job categories do people searching Python Engineer jobs in New York look for? The top searched job categories for Python Engineer jobs in New York are:
What are popular job titles related to Python Engineer jobs in NY? For Python Engineer jobs in NY, the most frequently searched job titles are:
Python/Robot Testing Engineer

Python/Robot Testing Engineer

Teksoft Systems Inc

Middletown, NJ • On-site

Other

Posted 8 days ago


Job description

Python/Robot Testing Engineer

Location: Middletown, NJ (Onsite from Day 1 & 5 Days Office) and F2F Required

6+ Months Contract

Must haves:

  • Excellent functional test experience in Network L3 domain.
  • Python: strong hands-on experience (writing clean, reusable tests and utilities)
  • Robot Framework Browser (Playwright) library for tricky Shadow DOM cases
  • Robot Framework: building scalable suites; Selenium Library; solid reporting
  • Selenium WebDriver: Selenium 4 experience, including handling Shadow DOM (e.g., getShadowRoot/JS executor), waits, page objects
  • Cross-browser: Chrome/Firefox/Edge, headless runs
  • Frontend testing: stable selectors, Shadow DOM-heavy apps, auth/MFA flows, cookies/sessions, cross-env config
  • API testing: OAuth2/JWT, REST/GraphQL, Python (requests/httpx), schema validation (JSON Schema), error handling
  • CI/CD: integrate tests into pipelines (Jenkins/GitHub Actions), test artifacts and gating
  • Version control: Git, branching/PRs, code reviews.
  • Data/DB checks: basic SQL for validating back-end effects.
  • Defect hygiene: clear bug reports, root-cause notes, reproducible steps, logs