🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines that power analytics and machine learning for global organizations. Your work will directly impact biotech, pharma, and enterprise analytics domains. You'll collaborate with a highly skilled, fully remote team that values clean engineering and scientific rigor.

🎯 What You'll Do

• Design, build, and maintain scalable data pipelines across multiple environments.
• Integrate structured and unstructured data into warehouses and data lakes.
• Develop and optimize ETL/ELT workflows for performance and reliability.
• Implement data governance, security standards, and compliance best practices.

📋 Requirements

• Python backend development with scalable architecture practices.
• SQL proficiency including database modeling and query optimization.
• Hands-on experience building and maintaining ETL/ELT pipelines.
• Experience integrating data from APIs, databases, and streaming systems.

✨ Nice to Have

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Docker, Kubernetes, and CI/CD tools.
• Experience in life sciences, biotech, or clinical data environments.

🎁 Benefits & Perks

• 💻 Remote work with global collaboration.
• 📈 Professional development budget for training and certifications.
• ⚙️ Modern work equipment (MacBook or ThinkPad with Linux).
• 🧬 High-impact projects in biotech and pharma.
• 🤝 Collaborative engineering culture.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 30 min