About the job Data Engineer
Location: Princeton, NJ (Hybrid 3 days on-site)
Type: Long Term Contract
Overview
Hybrid, Long Term Contract opportunity supporting a client in the insurance and risk analytics sector. Seeking a highly skilled Data Engineer to lead Azure-based data architecture and support actuarial analytics and reporting functions. Ideal for professionals with deep experience in Microsoft BI, data warehousing, and Azure big data technologies.
Key Responsibilities
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Architect and build scalable data pipelines using Azure Data Factory, Databricks, and SQL-based technologies.
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Design and implement data layers (staging, bronze, silver, gold) in a robust data lake architecture.
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Develop and schedule Azure Analysis Services tabular models and cubes via Automation Runbooks.
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Support business intelligence efforts through development of tabular/multidimensional SSAS cubes and custom reporting metrics (KPIs, partitions, data mining models).
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Translate business logic into ETL workflows across varied data sources and formats.
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Collaborate with cross-functional teams using Agile and SCRUM methodologies to support advanced analytics projects.
Required Skills & Experience
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10+ years of experience in data engineering and business intelligence architecture.
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Deep hands-on experience with Azure services including:
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Data Factory (ADF)
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Databricks
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Analysis Services (SSAS)
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Azure SQL and Data Lake tools
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Integration and Reporting Services (SSIS, SSRS)
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Proficient in building notebooks to support raw-to-curated data processing.
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Strong understanding of normalization/de-normalization and data warehouse design principles.
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Experience supporting actuarial systems, pricing models, and reporting workflows is a plus.
Preferred Domain Knowledge
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Insurance or actuarial data environments
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Familiarity with reinsurance structures, client hierarchies, and analytics-ready data
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Experience developing tools that feed downstream broker reporting and actuarial pricing functions
Work Authorization & Additional Info
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No relocation assistance provided
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No visa sponsorship available
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Must be able to work onsite 3 days/week in Princeton, NJ