Data Engineer: Fabric Pipelines & Lakehouse Expert

K&L Gates

Charlotte (NC)

On-site

USD 111,000 - 209,000

Full time

14 days+
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Benefits offered by this job

401(k) Retirement Plan
Medical/Prescription Drug Coverage
Paid Time Off (25-30 days per year)

Job summary

K&L Gates is seeking an experienced Data Engineer specializing in Microsoft Fabric to design and maintain enterprise data solutions. You'll collaborate with various business units to deliver scalable data products.

The role involves developing data pipelines, implementing data architectures using Lakehouse and Warehouse models, and enhancing Power BI analytics. A Bachelor's degree or equivalent experience, along with two years of Microsoft Fabric deployment experience, is essential.

Qualifications

  • Proven experience developing and deploying Fabric Data Factory pipelines with CI/CD automation.
  • Expertise in SQL and Python for data transformations, query optimization, and automation.
  • Strong working knowledge of Power BI, DAX, and Power Query.

Responsibilities

  • Design, develop, and maintain data pipelines using Microsoft Fabric Data Factory.
  • Build Dataflow Gen2 processes to prepare and enrich data from multiple sources.
  • Develop and manage Fabric Notebooks for advanced transformations and automation.

Skills

Microsoft Fabric
Data Architecture
Python
SQL
Power BI

Education

Bachelor’s degree in Computer Science, Information Systems, or related field
10 years of relevant experience instead of degree

Tools

Power Query
Azure DevOps
GitHub Actions

Job description

K&L Gates is seeking an experienced Data Engineer specializing in Microsoft Fabric to design and maintain enterprise data solutions. You'll collaborate with various business units to deliver scalable data products.

The role involves developing data pipelines, implementing data architectures using Lakehouse and Warehouse models, and enhancing Power BI analytics. A Bachelor's degree or equivalent experience, along with two years of Microsoft Fabric deployment experience, is essential.

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