Azure Data Engineer

Job Title: Data Engineer – SQL, Azure, ADF (Commercial Insurance) Location: Warren NJ (Hybrid) Experience: 12 -20 Years Job Type: Contract Required Skills: SQL, Azure, ADF, Commercial Insurance Position Overview We are seeking a highly skilled Data Engineer with strong experience in SQL, Azure Data Platform, and Azure Data Factory, preferably within the Insurance domain. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, integrating data from multiple insurance systems, and enabling analytical and reporting capabilities for underwriting, claims, policy, billing, and risk management teams. Required Skills & Experience • Minimum 12+ years of experience in Data Engineering or related roles. • Strong expertise in: • SQL, T-SQL, PL/SQL • Azure Data Factory (ADF) • Azure SQL, Synapse, ADLS • Data modeling for relational and analytical systems. • Hands-on experience with ETL/ELT development and complex pipeline orchestration. • Experience in Azure DevOps Git, CI/CD pipelines, and DataOps practices. • Understanding of insurance domain datasets: policy, premium, claims, exposures, brokers, reinsurers, underwriting workflows. • Strong analytical and problem-solving skills, with the ability to handle large datasets and complex transformations. Preferred Qualifications • Experience with Databricks / PySpark for large-scale transformations. • Knowledge of Commercial Property & Casualty (P&C) insurance. • Experience integrating data from Guidewire ClaimCenter/PolicyCenter, DuckCreek, or similar platforms. • Exposure to ML/AI pipelines for underwriting or claims analytics. • Azure certifications such as: • DP-203 (Azure Data Engineer) • AZ-900, AZ-204, AI-900