Fabric Data Engineer – Hybrid (Mon-Thu Onsite, Fri Remote)

Atrium

Acworth (GA)

Hybrid

USD 125,000 - 150,000

Full time

6 days ago
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Benefits offered by this job

Fridays remote
Hybrid schedule

Job summary

Atrium is seeking a Senior Microsoft Fabric Data Engineer in Acworth, GA to drive scalable data solutions on a hybrid schedule (Mon–Thu onsite, Fri remote). The role focuses on Microsoft Fabric, SQL, Python, PySpark, and modern Lakehouse architecture to deliver robust data pipelines and analytics.

Ideal candidates will design, develop, and optimize end-to-end data platforms, collaborate with business stakeholders, and contribute to governance, security, and documentation within a growing Data &

Qualifications

  • Bachelor's degree or equivalent professional experience required.
  • Hands-on Microsoft Fabric experience required; practical project work preferred.
  • Strong SQL, Python, and PySpark with notebook development experience.

Responsibilities

  • Design, develop, and maintain scalable data engineering solutions within Microsoft Fabric, including Lakehouses, Warehouses, Data Pipelines, and Dataflow Gen2.
  • Build, optimize, and troubleshoot complex ETL/ELT pipelines from multiple enterprise systems.
  • Develop Python and PySpark notebooks for data transformation and automation.

Skills

Microsoft Fabric
SQL
Python
PySpark
Lakehouse architecture
Data pipelines
Azure
ETL/ELT
Data modeling
Performance tuning

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Azure

Job description

Atrium is seeking a Senior Microsoft Fabric Data Engineer in Acworth, GA to drive scalable data solutions on a hybrid schedule (Mon–Thu onsite, Fri remote). The role focuses on Microsoft Fabric, SQL, Python, PySpark, and modern Lakehouse architecture to deliver robust data pipelines and analytics.

Ideal candidates will design, develop, and optimize end-to-end data platforms, collaborate with business stakeholders, and contribute to governance, security, and documentation within a growing Data &

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