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Senior Data Engineer (Must be on-site)

Synerfac Technical Staffing
Bethlehem, Pennsylvania I.T. & Communications 2 weeks ago
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Job description

Key Responsibilities Data Platform & Migration Design the firm"s data architecture in Microsoft Fabric, including a Lakehouse / medallion (bronze-silver-gold) model, and lead the migration of legacy SQL databases, ETL server processes, and aging vendor reporting into it. Establish engineering standards for source control, CI/CD, testing, monitoring, and documentation across the data estate. Define how data is delivered to and interacts with users through semantic models, Power BI, and self-service tooling, with a clear vision for the end-user experience. Leverage AI (Microsoft Copilot, agents, and AI-assisted development) to accelerate delivery and unlock new analytical and operational capabilities. Operations & Reliability Partner with business teams to identify opportunities to add efficiency or capability through technology, and translate those into architected solutions. Build resilient, stress-tested solutions and lead root-cause diagnosis when processes fail. Document architecture, dependencies, and runbooks so critical knowledge is shared, not siloed. Required Qualifications Bachelor's degree in a related field, or equivalent demonstrated experience defined as eight (8) or more years in data engineering/architecture roles, including at least one delivered production migration to a modern data platform. Relevant certifications (e.g., Microsoft DP-600 Fabric Analytics Engineer or Azure Data Engineer Associate) may substitute for formal education. Demonstrated experience architecting and delivering modern data platforms. Direct Microsoft Fabric experience is strongly preferred; equivalent, transferable experience on Azure Synapse, Databricks, or a comparable Lakehouse platform Strong SQL engineering skills (not just data extraction) and proven ability to model, transform, and land data in its intended destination. Hands-on experience building data pipelines / ETL and integrating disparate systems via APIs. Proficiency with Power BI semantic models and report development. Comfort working in a Microsoft 365 / Azure ecosystem (OneDrive, SharePoint, Teams, Entra).
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