🛠 Tech Stack

💼 About This Role

You'll design and build scalable ETL/ELT data pipelines for global-scale analytics, ensuring data quality and accessibility across cloud-based systems. You'll collaborate with data scientists and ML engineers to support data-driven initiatives that drive innovation in science and healthcare.

🎯 What You'll Do

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Optimize backend data services using Python for performance.
• Collaborate with cross-functional teams on data initiatives.
• Implement data quality, governance, and security best practices.

📋 Requirements

• Strong experience in Python backend development (FastAPI, Django, or Flask).
• Solid experience in ETL/ELT pipeline design and operation.
• Advanced SQL skills with data modeling and optimization.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

✨ Nice to Have

• Exposure to bioinformatics, life sciences, or healthcare data environments.
• Experience with Docker, CI/CD pipelines, and Kubernetes.

🎁 Benefits & Perks

• 🏖️ Fully remote position with global team collaboration.
• 💰 Competitive compensation aligned with experience.
• 🎓 Budget for professional development and certifications.
• 💻 Access to modern engineering tools (MacBook or ThinkPad).
• 🏆 High-impact projects in biotech and enterprise analytics.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Take-home Assignment· 2 hours