Data Engineer

Job Description

Our client is an AI-driven insurance technology company transforming how insurers, agents, and customers operate through intelligent automation and data-powered decisioning. They are building a modern, cloud-native data platform from the ground up to support large-scale integrations, real-time analytics, and AI models across the insurance lifecycle.

• Bachelor’s degree in Computer Science, Data Engineering, or a related field
• 5+ years of experience in data engineering or backend data-focused roles
• Strong expertise in SQL, data modeling, and building robust ETL/ELT pipelines
• Experience designing systems that support large-scale data integrations
• Hands‑on experience with relational databases (Postgres, MySQL, or similar)
• Familiarity with distributed data and streaming systems (Spark, Kafka, Flink, or equivalent)
• Experience working in cloud environments (AWS, Google Cloud Platform, or Azure preferred)

• 70% Data Platform & Pipeline Development
• 20% System Design & Large-Scale Integrations
• 10% Cross-team Collaboration & Documentation

• Build and maintain scalable batch and real-time data pipelines that power AI-driven insurance products
• Design and evolve the core data architecture supporting analytics, machine learning, and external integrations
• Work on complex inbound and outbound data integrations with partners, carriers, and internal systems
• Optimize data models and pipelines for performance, reliability, and data quality
• Collaborate with product managers, backend engineers, and AI teams to deliver production-ready data solutions
• Monitor pipeline health, implement observability, and ensure high data integrity across systems

• Competitive base salary
• Bonus eligibility
• Comprehensive benefits package including:
• Medical, Dental, and Vision Insurance
• Paid Time Off (PTO)
• 401(k) with company match