🛠 Tech Stack

💼 About This Role

You'll design and optimize data services and pipelines for a health tech company using AI-powered virtual care. You will drive cross-engineering initiatives, ensure data quality, and support teams with clean, actionable data.

🎯 What You'll Do

• Design and optimize scalable data pipelines
• Build and maintain robust data models
• Integrate LLM and agent-based capabilities into data platforms
• Enforce data quality standards and monitoring

📋 Requirements

• 5+ years as a Data Engineer or Backend Engineer
• Proficiency in Python for data pipelines and automation
• Expertise in SQL for complex queries and optimization
• Strong data modeling knowledge for relational and dimensional structures

✨ Nice to Have

• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of data orchestration tools (e.g., Airflow)
• Experience with Kubernetes or ML/AI development

🎁 Benefits & Perks

• 🏖️ 18 vacation days plus holidays and sick days
• 📈 Stock options for every full-time employee
• 👶 Paid parental leave
• 🏥 Competitive health, dental, and vision insurance
• 🚆 Commuter benefits

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min