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Full timeTechnology

Senior Data Engineer (Must be on-site)

Synerfac Technical StaffingBethlehem, Pennsylvania🇺🇸United States

Why this role stands out

This on-site Senior Data Engineer role offers a significant opportunity to shape a firm's data architecture using Microsoft Fabric, driving impactful migrations and leveraging AI for accelerated delivery. You'll thrive here if you possess strong SQL and data pipeline engineering skills, enjoy architecting resilient solutions, and are eager to collaborate closely with business teams to translate technical vision into reality.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationBethlehem, Pennsylvania, United States
SQLMicrosoft OfficeETLDatabricksGenerative AIAzurePower BISharePointCI/CD

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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