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Python Mechanical Engineer Jobs in Brooklyn, NY (NOW HIRING)

Altanova

Energy Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

This position is open to junior candidates with a mechanical engineering, energy, building ... Proficiency in C# or Python programming. Equal Opportunities Altanova is an Equal Opportunity ...

Altanova

Energy Engineer Intern

New York, NY

$18.25 - $23.75/hr

This position is open to junior candidates with a mechanical engineering, energy, building ... Proficiency in C# or Python programming. Equal Opportunities Altanova is an Equal Opportunity ...

Altanova

Energy Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

This position is open to junior candidates with a mechanical engineering, energy, building ... Proficiency in C# or Python programming. Equal Opportunities Altanova is an Equal Opportunity ...

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Showing results 21-40

All JobsPython Mechanical Engineer JobsPython Mechanical Engineer Jobs in Brooklyn, NY

Python Mechanical Engineer information

See Brooklyn, NY salary details

$24.2K

$147.2K

$212.9K

How much do python mechanical engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for python mechanical engineer in Brooklyn, NY is $147,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a Python mechanical engineer do?

A Python Mechanical Engineer is a professional who combines mechanical engineering expertise with proficiency in the Python programming language. They often use Python to automate simulations, analyze engineering data, create custom computational tools, and develop scripts for design optimization. Their work can involve tasks such as automating CAD processes, running finite element analysis, or integrating hardware and software systems. This combination of skills is increasingly valuable in industries that emphasize digital engineering and automation.

How does a Python mechanical engineer typically collaborate with cross-functional teams during product development?

Python Mechanical Engineers often work closely with electrical engineers, software developers, and product managers throughout the product development cycle. Their role involves integrating Python-based automation and simulation tools with mechanical design processes, which requires clear communication and coordination to ensure compatibility and efficiency. Regular meetings, collaborative project management platforms, and shared documentation are commonly used to align goals and resolve technical challenges. This cross-disciplinary teamwork not only enhances product quality but also provides valuable opportunities for professional growth and learning.

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

To thrive as a Python Mechanical Engineer, you need a solid foundation in mechanical engineering principles, strong programming skills in Python, and typically a bachelor’s degree in mechanical engineering or a related field. Familiarity with simulation and modeling tools like ANSYS or SolidWorks, as well as experience with Python libraries such as NumPy and pandas, is highly beneficial. Problem-solving abilities, effective communication, and adaptability set candidates apart in this role. These skills are essential for efficiently designing, analyzing, and automating engineering processes, leading to innovative and optimized mechanical solutions.

What is the difference between Python Mechanical Engineer vs Mechanical Design Engineer?

AspectPython Mechanical EngineerMechanical Design Engineer
Required SkillsPython programming, mechanical engineering fundamentalsMechanical design, CAD software, engineering principles
Work EnvironmentSoftware development teams, engineering labsDesign offices, manufacturing facilities
CertificationsOptional Python or software certifications, engineering licensesProfessional Engineer (PE), CAD certifications
Industry UsageAutomation, robotics, simulationProduct design, machinery, structural components

The main difference between a Python Mechanical Engineer and a Mechanical Design Engineer lies in their focus areas. Python Mechanical Engineers combine programming skills with mechanical engineering knowledge to develop automation and simulation tools, while Mechanical Design Engineers focus on creating physical product designs using CAD software. Both roles are essential in engineering projects but serve different functions within the industry.

Are Python Mechanical Engineers in demand?

Python Mechanical Engineers are in demand as companies seek professionals who can integrate Python programming with mechanical systems, automation, and data analysis. Skills in Python, CAD software, and control systems increase employability in industries like manufacturing, robotics, and engineering design.

What are popular job titles related to Python Mechanical Engineer jobs in Brooklyn, NY?

For Python Mechanical Engineer jobs in Brooklyn, NY, the most frequently searched job titles are:

What job categories do people searching Python Mechanical Engineer jobs in Brooklyn, NY look for?

The top searched job categories for Python Mechanical Engineer jobs in Brooklyn, NY are:

What cities near Brooklyn, NY are hiring for Python Mechanical Engineer jobs?

Cities near Brooklyn, NY with the most Python Mechanical Engineer job openings:

Python Mechanical Engineer jobs near you
Infographic showing various Python Mechanical Engineer job openings in Brooklyn, NY as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $147,180 per year, or $70.8 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Queens, NY • Remote

$45/hr

Part-time

Re-posted 25 days ago

Job description

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do 

The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)

Additional requirements

  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation 

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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