Job DescriptionWe are seeking an experienced Senior Data Engineer to support complex data engineering initiatives within our insurance data and analytics practice.Base Compensation Range: 100,000 - 125,000
The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
ResponsibilitiesTechnical Delivery- Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services
- Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use cases
- Drive data migration and modernization efforts from legacy environments to cloud-native platforms
- Develop and review complex SQL transformations, stored procedures, and data quality validation frameworks
- Establish and enforce data engineering standards, coding best practices, and pipeline documentation
- Provide hands-on troubleshooting and performance optimization across the data stack
QualificationsEducation- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
