🛠 Tech Stack

💼 About This Role

You'll build and maintain cloud-native data infrastructure and scalable data pipelines at a health benefits platform serving 250k+ members. Your work will directly improve healthcare data quality and enable self-service analytics across the organization.

🎯 What You'll Do

• Build and maintain cloud native data infrastructure (AWS, Terraform)
• Create and maintain data pipelines using Spark (Python, PySpark, SQL)
• Design logical and physical schemas with analytic consumers
• Interface with cross-functional teams to understand data needs

📋 Requirements

• 4+ years as a data engineer with Python/PySpark and SQL
• 4+ years schema design and dimensional data modeling
• Expertise in ETL design and maintenance
• Experience with distributed data systems (Spark, Presto, Hive, Redshift)

✨ Nice to Have

• BI platform administration experience
• Workflow management tools (e.g., Airflow)

🎁 Benefits & Perks

• 🏥 Health insurance
• 💰 401k
• 🏖️ Paid time off
• 📈 Stock options

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min