🛠 Tech Stack

💼 About This Role

You'll build and optimize large scale data infrastructure at a healthcare AI startup, driving business decisions and ML research. You'll own data pipelines, OLAP databases, and tooling for analytics and product features, collaborating closely with engineers and product managers.

🎯 What You'll Do

• Build scalable data pipelines for ML training and evaluation
• Manage OLAP databases and ELT processes for analytics
• Optimize data infrastructure for throughput and reliability
• Design data integrations and quality frameworks

📋 Requirements

• 5+ years in Data Engineering or Backend Engineering with data focus
• Proficiency in Python, Java, or Scala and SQL
• Experience with a cloud provider (GCP, AWS, Azure) and data services
• Deep knowledge of modern data infrastructure best practices

✨ Nice to Have

• Experience with distributed processing frameworks
• Familiarity with Terraform and Kubernetes
• Experience deploying ML models at scale

🎁 Benefits & Perks

• 🏖️ Flexible PTO and 14 paid holidays
• ❤️ Comprehensive health plans with HSA contribution
• 👨‍👩‍👧 Paid parental leave and family forming benefits
• 💰 401(k) matching and equity grants
• 💪 Lifestyle wallet for fitness, development, and more