🛠 Tech Stack

💼 About This Role

You'll design and maintain data pipelines for identity analytics on Spring Health's Precision Mental Healthcare platform. Your work will directly improve mental health outcomes for millions while partnering with leading companies like Microsoft and Target.

🎯 What You'll Do

• Build and optimize data models for identity analytics
• Develop ETL pipelines to ingest data from multiple sources
• Ensure data quality and governance across identity datasets
• Collaborate with data scientists to support machine learning initiatives

📋 Requirements

• 4+ years of experience in analytics engineering or data engineering
• Proficiency in SQL and a modern data modeling tool like dbt
• Experience with cloud data warehouses such as Snowflake or BigQuery
• Strong understanding of data governance and quality best practices

✨ Nice to Have

• Experience with identity resolution or customer data platforms
• Familiarity with Python for data processing
• Prior work in healthcare or mental health technology

🎁 Benefits & Perks

• 🏖️ Competitive PTO including vacation, sick leave, and holidays
• 👶 Generous parental leave - 18 weeks for birthing parents, 16 weeks for non-birthing
• 💰 401(k) match of up to 2%
• 🗣️ Free therapy sessions through Spring Health network
• 📚 $1,000 professional development reimbursement annually

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical phone screen· 45 min
3. 3On-site technical interviews· 3 hours