Python Backend Developer

Job not on LinkedIn

February 12

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Logo of thinkbridge

thinkbridge

Artificial Intelligence • B2B • Enterprise

thinkbridge is a global digital product development and technology advisory firm that helps growth-stage and mid-market companies modernize their tech stacks, build customer-facing platforms, and adopt AI and automation to accelerate value and scale. They offer end-to-end services including digital and technology strategy, GenAI consulting, application modernization, modern application development, DevOps/ML Ops, integrations, automation and 24x7 maintenance — with industry-focused work in financial services, energy/utilities, health and staffing. thinkbridge emphasizes fast, outcome-driven delivery using proprietary accelerators and a predictable pricing model.

📋 Description

• 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 testable code.

🎯 Requirements

• 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.

🏖️ Benefits

• Contract (Renewable based on performance) • Remote First • No loss of pay for pre-approved leaves.

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