Senior Python Data Scraping Engineer (Freelance)

Remote from: USA
Salary, yearly, USD: 90,000
Department: Programming
Employment type: Full Time,
Job posted: 25 Jun 2026
Apply before: 25 Jul 2026
Experience level: Senior
Views / Applies: 47 / 5

Mindrift connects AI experts and clients to advance Generative AI models.

Actively Hiring

AI Summary

Mindrift is seeking a Senior Python Data Scraping Engineer for a freelance role on the Tendem project. The position involves end-to-end data extraction workflows, leveraging tools like Apify and OpenRouter, and ensuring data quality. Requirements include 5+ years of experience, expertise in Python web scraping (BeautifulSoup, Selenium), and handling dynamic content and anti-bot mechanisms. This remote, part-time opportunity offers up to $45 per hour, with tasks requiring 10-20 hours per week. Ideal candidates are self-directed, detail-oriented, and experienced with LLM frameworks and cloud infrastructure.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires extensive experience (5+ years), advanced scraping techniques for dynamic content and anti-bot mechanisms, and proficiency with LLM frameworks, making it highly challenging.

Salary Analysis

AI Insight The offered salary of $90,000 per year is below the typical market median for a senior data scraping engineer, which ranges from $100,000 to $130,000. However, the freelance nature and part-time hours (10-20/week) may compensate, as the equivalent hourly rate of up to $45 is competitive.

Key Skills

Python Web Scraping BeautifulSoup Selenium Data Extraction LLM Docker AWS

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my interest in the Senior Python Data Scraping Engineer position at Mindrift. With over 5 years of experience in web scraping and data engineering, I have developed expertise in extracting data from complex, dynamic websites using tools like BeautifulSoup and Selenium. I am proficient in handling anti-bot mechanisms and scaling operations using Docker and AWS.

My recent work involved integrating LLM frameworks like LangChain to automate data validation and enrichment, aligning perfectly with your requirements. I am comfortable working independently and delivering high-quality structured datasets in formats like CSV and JSON.

I am excited about the opportunity to contribute to the Tendem project and drive AI-human hybrid workflows. Thank you for considering my application.

Sincerely,

[Your Name]

Possible Interview Questions

Describe your experience with scraping dynamic JavaScript-rendered content. Which tools do you prefer and why?

I have extensive experience with Selenium and Playwright for handling dynamic content. For complex sites, I use a combination of headless browsers and API monitoring to capture network requests. I prefer Playwright for its better performance and async support.

How do you handle anti-bot mechanisms like CAPTCHAs or rate limiting?

I use rotating proxies, user-agent rotation, and implement delays to mimic human behavior. For CAPTCHAs, I integrate third-party solving services. I also design scripts to gracefully handle rate limits with exponential backoff.

Explain a project where you scaled scraping operations to collect large datasets. What challenges did you face?

I scraped 10 million product listings from e-commerce sites using distributed scraping with Docker and AWS EC2. Challenges included IP blocking and data consistency. I solved these with a proxy pool and message queues for reliable task distribution.

How do you ensure data quality and validation in your scraping pipelines?

I implement automated validation checks such as schema compliance, duplicate detection, and cross-referencing with known values. I also use sanity checks like expected ranges and formats before outputting data to CSV or JSON.

Describe an experience where you used LLMs or AI tools to enhance a scraping workflow.

I used LangChain with GPT-4 to parse unstructured text from scraped pages and extract structured fields like specifications. The LLM handled variations in HTML patterns, reducing manual cleaning and improving accuracy by 30%.

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable 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 AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

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 various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities:

Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
Leverage internal tools (Apify, OpenRouter) alongside 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.

Requirements:

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