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Python Scraping Developer Job Opening In Colombia, Colombia – Now Hiring OnHires


Job description

Highlights


  • Remote-first role open to candidates from Brazil / South America, Turkey, and Northern Africa


  • Work on a data-driven SaaS platform focused on large-scale web data collection and automation


  • Full ownership of scraping projects – from design to deployment and maintenance


  • Fully remote, flexible working hours within a small, international team


About the company

Our client is a Berlin-based, remote-first SaaS company developing data-driven products for international clients.

They combine cutting-edge technology with a culture of freedom, ownership, and collaboration.

You’ll join a small but highly skilled team that values initiative, precision, and technical curiosity.

The company offers an environment where developers have real influence over architecture and tools, while working on challenging large-scale scraping and data automation projects.

Role Overview

We’re looking for a Python Developer focused on web scraping — someone who enjoys tackling complex data extraction challenges, building scalable crawlers, and keeping large scraping systems running reliably in production.

You’ll be responsible for developing, maintaining, and improving high-volume scraping pipelines, ensuring the data we collect is accurate, consistent, and delivered on time.

Responsibilities


  • Develop, test, and deploy web scraping scripts and crawlers using Python (Scrapy, Playwright, Selenium, Requests, BeautifulSoup, etc.)


  • Design and maintain asynchronous scraping systems capable of handling large-scale data extraction


  • Implement and optimize anti-blocking / proxy rotation strategies


  • Monitor, debug, and continuously improve scraper reliability and performance


  • Manage and automate data ingestion pipelines and integrations with REST APIs


  • Collaborate with other engineers to enhance tooling, logging, and monitoring for scraping systems


  • Support DevOps-related tasks (Docker, CI/CD, Linux environments)


Requirements


  • Proven hands-on experience in web scraping and data extraction with Python


  • Solid understanding of HTML parsing, browser automation, and async programming


  • Experience with web scraping frameworks (Scrapy, Playwright, Selenium, or similar)


  • Knowledge of REST APIs, HTTP protocols, and proxy management


  • Familiarity with SQL and NoSQL databases for storing and processing collected data


  • Experience with Docker, Linux, and version control (Git)


  • Fluent in English (written and spoken)


  • Self-driven, detail-oriented, and capable of taking ownership of projects


Nice to have:


  • Experience with asyncio, Celery, or distributed task management


  • Familiarity with cloud services (AWS, GCP, or similar)


  • Understanding of data quality validation and pipeline monitoring tools


What’s in it for you


  • Competitive compensation


  • Fully remote role within the listed regions


  • Flexible working hours and collaborative culture


  • Freedom to choose tools and influence technical decisions


  • Regular team meetups (online and on-site)


  • Supportive environment with a strong learning culture


Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Python Scraping Potential: Insight & Career Growth Guide


Real-time Python Scraping Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Python Scraping in Colombia, Colombia, highlighting market share and opportunities for professionals in Python Scraping roles.

6442 Jobs in Colombia
6442
88 Jobs in Colombia
88
Download Python Scraping Jobs Trends in Colombia and Colombia

Are You Looking for Python Scraping Developer Job?

Great news! is currently hiring and seeking a Python Scraping Developer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at OnHires adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Python Scraping Developer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Colombia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Python Scraping Developer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Python Scraping Developer Job Success

OnHires interview tips for Python Scraping Developer

Here are some tips to help you prepare for and ace your Python Scraping Developer job interview:

Before the Interview:

Research: Learn about the OnHires's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Python Scraping Developer interview at OnHires, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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