Data Engineer
Data Engineer
Princeton, NJ | Hybrid (3 Days Onsite) Contract | Mid-Senior Level Rate: $80/hour No relocation or visa sponsorship
We're seeking a Data Engineer with deep expertise in modern BI stacks and cloud technologies to support high-impact actuarial and analytics tools used across a global organization. If you're passionate about solving complex data challenges and building scalable pipelinesthis role will keep you challenged and fulfilled.
Key Responsibilities
- Design, develop, and maintain enterprise-scale data engineering solutions
- Build and optimize data pipelines across raw, staging, and curated layers
- Implement ETL/ELT solutions using Azure Data Factory, Databricks, and SQL Server
- Develop and deploy Azure Analysis Services (SSAS) tabular models
- Work on real-time streaming data solutions using Azure Event Hubs and Stream Analytics
- Collaborate with actuaries, analysts, and tech stakeholders on data strategies
- Support actuarial tools and risk analytics platforms
Required Skills & Tools
- 10+ years in data engineering with strong Microsoft BI/Azure BI experience
- Proficiency in:
- Azure Data Factory, Databricks, SSAS
- Azure Data Lake Analytics/Store
- Azure SQL, PySpark, MongoDB
- SQL Server Integration and Reporting Services
- Data modeling using normalization/denormalization techniques
- Experience with cube development, KPIs, partitions, and performance tuning
- Strong understanding of agile methodologies and SDLC principles
Preferred Experience
- Familiarity with insurance or actuarial domains
- Understanding of reinsurance broking data, rating models, exposure data, and client hierarchies
- Experience building pipelines to support actuarial pricing and analytics
- Comfortable working in fast-paced, product-centric tech environments
Work Environment
- Collaborative, global team with a product-first mindset
- Opportunity to support next-gen actuarial modernization for a major analytics platform
- Hybrid work structure in Princeton, NJ
Sound like a fit? Le'ts connect and explore how your skills can drive next-level data solutions.
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