Senior Staff Data Engineer

Role Overview

• Design, develop, and optimize highly scalable batch and near‑real‑time data pipelines
• Lead the delivery of curated, analytics‑ready data products
• Implement robust error handling, reconciliation, restartability, and performance optimization
• Partner with Data Governance team for metadata management
• Evaluate and apply AI‑assisted engineering tools to improve developer productivity

Requirements

• Candidates must be authorized to work in the US without company sponsorship
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline
• 8+ years of progressive experience in data engineering
• 5+ years of hands-on experience with Python and PySpark / Spark
• Deep hands‑on experience with Snowflake
• Good experience working with disparate data sources
• Good experience with version control tools
• Strong background in Data Profiling, Data Modeling and Data governance concepts
• Nice to have Certifications in AWS Data & Analytics Services, AI and Snowflake
• Experience using AI‑assisted development tools to improve productivity
• Experience in the Insurance industry and policy administration data environments
• Experience with Informatica Data Management Cloud.

Tech Stack

• AWS
• Cloud
• Informatica
• PySpark
• Python
• Spark

Benefits

• Other rewards may include short-term or annual bonuses
• long-term incentives
• and on-the-spot recognition