🛠 Tech Stack

💼 About This Role

You'll build data pipelines for a health tech platform used by 125,000+ practitioners. You will transform messy clinical data into analysis-ready datasets to enable causal outcome modeling and lab normalization.

🎯 What You'll Do

• Ingest and normalize heterogeneous healthcare data sources
• Build robust, reproducible ELT pipelines in a cloud data stack
• Apply OCR and NLP to extract signals from unstructured clinical documents
• Implement data quality frameworks and CI/CD for transformations

📋 Requirements

• 3-5 years of data engineering experience
• Experience with healthcare data sources (EHR, clinical records)
• Proficiency in Python and SQL
• Experience with cloud data warehouses like Snowflake

✨ Nice to Have

• Experience with OCR/NLP tools
• Knowledge of causal inference methods

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🩺 Health benefits
• 💰 Equity options
• 📚 Learning budget

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Interview· 90 min