🛠 Tech Stack

💼 About This Role

You'll develop and maintain robust testing frameworks for data platforms in the insurance industry. You'll focus on data quality across the full data lifecycle from raw ingestion to analytical layers. This role offers the opportunity to mentor team members and drive quality engineering best practices.

🎯 What You'll Do

• Develop and maintain dbt testing frameworks across data layers
• Analyze requirements and determine testing scope and strategies
• Collaborate with stakeholders to define testing needs
• Investigate failed tests and perform root cause analysis

📋 Requirements

• Experience in Quality Engineering with data-centric testing
• Experience within the insurance industry
• Proficiency in SQL and Python
• Knowledge of data warehousing, ETL, and BI platforms

✨ Nice to Have

• Hands-on experience with data validation across complex pipelines
• Ability to translate business requirements into testing solutions

🎁 Benefits & Perks

• 🏠 Work from home
• 🏖️ Flexible PTO
• 📚 Learning and development opportunities
• 💼 Full-time employment

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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