Senior Data Engineer

Synerfac Technical Staffing

Bethlehem, PA, United States

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$130,000.0 - $160,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Microsoft Windows Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Microsoft Azure Continuous Integration Data Architecture Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Mining Digital Architecture

+10 more

Power BI Microsoft SharePoint SQL Databases Microsoft Power Automate Azure Data Factory Microsoft Fabric Azure Synapse Analytics Software Version Control Data Pipelines Databricks

Job description

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.

Requirements

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).