🛠 Tech Stack

💼 About This Role

You'll architect and optimize complex data pipelines for a health tech company, using PySpark and Databricks in a modern cloud environment. Your work will directly impact healthcare data usability for large health plans, enabling better decisions and outcomes.

🎯 What You'll Do

• Architect high-volume batch/real-time pipelines using PySpark and SparkSQL
• Build ingestion frameworks with Databricks, Snowflake, and AWS services
• Develop data modeling frameworks for analytical workloads
• Lead technical solution design for health plan clients

📋 Requirements

• 7+ years of Data Engineering experience with distributed processing systems
• Expert-level proficiency in Python, SQL, and PySpark
• Experience designing production-grade ETL/ELT pipelines using Databricks or Airflow
• Working knowledge of U.S. healthcare data domains (claims, eligibility, provider)

✨ Nice to Have

• Experience in large-scale healthcare or payer data environments

🎁 Benefits & Perks

• 🏖️ Competitive Leave Benefits
• 🏥 Comprehensive health coverage
• 📈 Equity for every employee
• 🌱 Growth-focused environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 45 min
3. 3On-site Interviews· 3 hours