🛠 Tech Stack

💼 About This Role

You'll design and optimize scalable data systems in a data-driven insurance environment, building robust pipelines to ensure reliable high-quality data availability. You'll collaborate with architects, analysts, and stakeholders to translate requirements into technical solutions. This role combines hands-on engineering with strategic collaboration in a cloud-first agile environment, contributing to modern data infrastructure supporting critical insurance products.

🎯 What You'll Do

• Design, build, and maintain scalable data pipelines across platforms and sources
• Execute ETL/ELT processes aligned with data governance and compliance standards
• Develop data quality frameworks with validation, anomaly detection, and cleansing
• Mentor junior engineers and provide technical guidance and best practices

📋 Requirements

• 5-7 years of experience in data engineering
• Proficiency in SQL with relational databases like SQL Server or Oracle
• Hands-on cloud experience with AWS, Azure, or GCP data services
• Strong programming skills in Python or Spark

✨ Nice to Have

• Familiarity with Power BI or similar analytics tools
• Experience in agile environments
• Experience with data warehousing and data integration

🎁 Benefits & Perks

• 🏖️ Remote work flexibility within the United States
• 🏥 Comprehensive health, dental, and vision insurance
• 💰 Retirement savings plan with employer contributions
• 🌴 Paid time off and holidays
• 📈 Professional growth opportunities with modern cloud data technologies

📨 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