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Senior Data Engineer (Must be on-site)

Date Posted: Sep 30, 2026
Yearly: USD - USD

Job Detail

  • location_on
    Location Bethlehem, Pennsylvania, United States of America
  • desktop_windows
    Job Type: Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Dec 29, 2026

Job Description

Overview

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).

Key responsibilities

Not specified in the original listing.

Required skills

  • I.T. & Communications

What the company offers

Not specified in the original listing.

Skills Required

Company Overview

Quakertown, Pennsylvania, United States of America

Synerfac Technical Staffing is a leading service provider in the staffing sector, focusing on finding skilled professionals to join companies in various technical fields. The company emphasizes collaboration, integrity, and effective communication wi... Read More

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