Job Title: Data Engineer Location: Princeton, NJ (Hybrid – 3 Days Onsite) Employment Type: Contract / Full-Time (NOT C2C) Position Summary We are looking for a highly skilled Data Engineer to design and develop scalable data solutions using Microsoft Azure technologies. The ideal candidate will have hands-on experience in building modern data pipelines, implementing BI solutions, and working with structured and unstructured data. This position requires a strong background in data engineering, Azure cloud services, and a collaborative mindset for working in cross-functional Agile teams. Key Responsibilities • Develop and maintain end-to-end data pipelines using Azure Data Factory, Azure Databricks, and PySpark. • Design and implement robust data models supporting data staging (bronze), refined (silver), and curated (gold) layers. • Perform ETL/ELT processing of data from multiple sources including flat files, relational databases, and cloud storage. • Build and deploy tabular models using Azure Analysis Services (SSAS) and support reporting systems with optimized queries. • Leverage Azure Data Lake Analytics and Azure Data Lake Store to manage and process large-scale data sets. • Create and automate workflows using Azure Integration Runtime, Event Hubs, and Stream Analytics. • Collaborate with analysts, data scientists, and business stakeholders to understand requirements and deliver effective data solutions. • Write efficient and maintainable code in notebooks for data movement and transformation in Databricks. • Implement data quality, validation, and governance best practices throughout the pipeline lifecycle. Required Technical Skills Cloud & Data Engineering: • Azure Data Factory (ADF) • Azure Databricks • Azure Data Lake (ADLS, ADLA) • Azure Analysis Services (SSAS) • Azure Integration Runtime • Azure Event Hubs • Azure Stream Analytics • DBT (Data Build Tool) Database & Programming • Azure SQL • MongoDB • PySpark ETL & Reporting Tools • SQL Server Integration Services (SSIS) • SQL Server Reporting Services (SSRS) Preferred Domain Experience • Familiarity with data from actuarial or insurance domains, including: • Client hierarchies, treaty structures, renewal processes • Exposure and experience data, pricing models, and program structures • Experience building pipelines that support analytics, pricing tools, and reporting Team & Collaboration Skills • Strong written and verbal communication skills with the ability to explain technical details to non-technical stakeholders. • Experience working in Agile/Scrum development environments. • Demonstrated ability to work both independently and in a collaborative team environment. • Strong decision-making skills and the ability to manage priorities in high-pressure scenarios. What You’ll Gain • Opportunity to work on modern data architecture using the latest Azure technologies • A dynamic and collaborative work culture focused on innovation and problem-solving • Flexible hybrid work schedule with a base in Princeton, NJ Skills: sql server intergration services,azure analysis services,azure data lake,server reporting,azure integration runtime,sql server integration services,microsoft bi/azure bi solutons,azure data factory,azure sql,dbt,pyspark,azure analysis,azure stream analytics,azure databricks,sql server reporting services,azure event hubs,mongodb