Python Backend Developer - Latin America

About this role

This is a remote position.
Aboutthinkbridge

thinkbridge is how growth-stage companies can finally turn into tech disruptors. They get a new way there – with world-class technology strategy, development, maintenance, and data science all in one place. But solvingtechnologyproblems like these involves a lot more than code. That’s why we encouragethink’ersto spend 80% of their time thinking through solutions and 20% coding them. With an average client tenure of 4+ years, you won’t be hopping from project to project here – unless you want to. So, you really can get to know your clients and understand their challenges on a deeper level. Atthinkbridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization.

thinkbridge is a place where you can:

• Think bigger– because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues.

• Move faster– because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done.

• Go further– because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship.

thinkbridge…there’s a new way there. ™

What is expected of you?

As part of the job, you will be required to

• Develop and maintain Python-based backend services for large-scale data collection + processing and customer facing Web services developed in Flask andFastAPI.

• Build efficient, scalable, and maintainable web scraping solutions using tools like Playwright, Crawl4AI or other open source LLM backed scraping.

• Work with large datasets provided by our data partners and collected by our systems and model them efficiently to be served to customers facing applications in sub second latency.

• Work extensively with 3rd party APIs to ingest data from other SaaS products into our owndatastore .

• Ensure data integrity and quality through validation, deduplication, and error-handling mechanisms.

• Implement and optimize database queries (SQL and NoSQL) for fast data retrieval.

• Collaborate with cross-functional teams to integrate collected data into internal systems.

• Maintain security and compliance best practices in data scraping and storage.

• Write clean, well-documented, and testablecode.

If your beliefs resonate with these, you are looking at the right place!

• Accountability– Finish what you started.

• Communication– Context-aware, pro-active and clean communication.

• Outcome– High throughput.

• Quality– High-quality work and consistency.

• Ownership – Go beyond.

Requirements

Must-Have:

• 3+ years of Python development experience with a focus on backend systems.

• Strong expertise in web scraping techniques and frameworks (Scrapy, Beautiful Soup, Selenium, Playwright).

• Experience handling large-scale data processing and working with big datasets.

• Proficiency in SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, etc.).

• Knowledge of asynchronous programming and multiprocessing in Python.

• Familiarity with cloud services (AWS, GCP, or Azure) for scalable data storage and processing.

• Experience with data pipeline orchestration tools (Airflow, Prefect, or Luigi) is a plus.

• Strong debugging and performance optimization skills.

• Ability to work independently and manage multiple priorities in a fast-paced environment.

• Fluent English communication skills

Good to Have:

• Experience with APIs and automation for data extraction

• Experience withclick houseDBs is a huge plus

• Familiarity with containerization technologies (Docker, Kubernetes).

• Knowledge of machine learning or NLP for data analysis is a plus.

• Experience working with LLMs in a scalable and reliable manner Additional Requirement

Benefits

• Contract (Renewable based on performance)

• Remote First

• Working hours USA (PST)

• ​No loss of pay for pre-approved leaves.

Originally posted on Himalayas