Python Backend Developer - Latin America

Job Description This is a remote position. About think bridge think bridge 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 solving technology problems like these involves a lot more than code. That’s why we encourage think ’ers to 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. At think bridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization. think bridge 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. think bridge…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 and FastAPI . 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 own datastore . 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 testabl e code. 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 with click house DBs 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.