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Freelance Mems Process Engineer Jobs in Edison, NJ

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Freelance Mems Process Engineer information

See Edison, NJ salary details

$74K

$142.2K

$241.2K

How much do freelance mems process engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for freelance mems process engineer in Edison, NJ is $142,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $152,700.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Mems Process Engineer vs Freelance Mechanical Engineer?

AspectFreelance Mems Process EngineerFreelance Mechanical Engineer
CredentialsRelevant engineering degrees, MEMS-specific certificationsMechanical engineering degrees, professional licenses
Work EnvironmentCleanroom facilities, semiconductor industryManufacturing plants, design offices
Industry UsageSemiconductor, microfabricationAutomotive, aerospace, product design

Freelance Mems Process Engineers focus on microfabrication processes within the semiconductor industry, often working in cleanrooms. In contrast, Freelance Mechanical Engineers work across broader manufacturing and design sectors, with less emphasis on microfabrication. Both roles require engineering credentials, but their work environments and industry applications differ significantly.

What job categories do people searching Freelance Mems Process Engineer jobs in Edison, NJ look for? The top searched job categories for Freelance Mems Process Engineer jobs in Edison, NJ are:
Infographic showing various Freelance Mems Process Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $142,228 per year, or $68.4 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

New York, NY • Remote

$37/hr

Part-time

Re-posted 27 days ago


Job description

Mindrift is looking for highly skilled Web Scraping 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 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 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 requirements.
  • 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 3+ 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 web technologies and data processing tools, 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

  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
  • 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 $37 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.