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Mid-level Data Engineer title, metro location, and generalist skillset drive high applicant competition.
Core data engineering skills are transferable, but Microsoft Fabric/OneLake specialization and insurance preference raise sensitivity.
Explicit 4+ years plus mandatory Microsoft Fabric/Azure, Spark, governance, and CI/CD skills increase selection strictness.
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Develop and maintain Microsoft Fabric / OneLake Lakehouse solutions across Bronze, Silver, and Gold layers using Medallion Architecture.
Build and optimize scalable data pipelines, including ingestion, transformation, and quality validation for varied data sources (GCP, CSV, Excel, email, SharePoint).
Support analytics data products and Power BI semantic models, ensuring data governance, security, operational monitoring, and troubleshooting production incidents.
4+ years of data engineering experience with hands-on expertise in Azure / Microsoft Fabric.
Proficiency in Spark / PySpark, Python, SQL, Delta Lake, and experience with ETL/ELT, CDC, data ingestion, and Medallion Architecture.
Bachelor’s degree in Computer Science, Engineering, IT, or related field.
Mandatory skills: Microsoft Fabric Lakehouse, OneLake, Data Pipelines, Notebooks, Power BI semantic models, Microsoft Purview, Azure DevOps, Git, CI/CD.
Experienced in delivering end-to-end scalable data engineering solutions using Microsoft Fabric and Azure ecosystem.
Strong background in building and maintaining layered data lakes with operational data quality, validation, and reconciliation controls.
Comfortable collaborating with architects, lead engineers, BI teams, and business stakeholders in dynamic, production-focused environments.