🛠 Tech Stack

💼 About This Role

You'll contribute to the development and enhancement of systems that collect and process large-scale web data from structured and unstructured sources. You'll build and maintain ETL/ELT pipelines using Python, Apache Spark, and AWS. This role offers exposure to complex distributed systems that directly contribute to improving access to healthcare information worldwide.

🎯 What You'll Do

• Design and implement data extraction components using APIs and scraping frameworks
• Build and maintain ETL/ELT pipelines with Python, Apache Spark, and AWS
• Monitor, debug, and optimize data pipelines for reliability and performance
• Collaborate with teams to enhance data quality and pipeline scalability

📋 Requirements

• 3–5 years of professional experience in backend engineering or data engineering
• Strong proficiency in Python for production-level development
• Experience building and maintaining data pipelines or backend data systems
• Strong SQL skills with experience using PostgreSQL or similar databases

✨ Nice to Have

• Familiarity with web data extraction techniques (e.g., Selenium, Playwright)
• Hands-on experience with Apache Spark or similar frameworks
• Experience with Docker or containerized development workflows

🎁 Benefits & Perks

• 🏥 Comprehensive health insurance coverage and generous paid time off
• 🌴 Wellness-focused company-wide holidays and health initiatives
• 💰 Retirement planning options and financial well-being support
• 🕒 Flexible work hours with the opportunity to work from anywhere

📨 Hiring Process

Estimated timeline: 1-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Take-Home Assignment· 2 hours