Fabric Data Engineer - Remote (Azure, Lakehouse, Pipelines)

Bridgenext

United States

Remote

USD 120,000 - 180,000

Full time

4 days ago

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Job summary

Bridgenext is seeking an experienced Fabric Data Engineer to design, build, and optimize scalable data pipelines using Microsoft Fabric components such as Data Factory, Lakehouse, Notebooks, Pipelines, OneLake, and Synapse. The role emphasizes data modeling, ETL/ELT best practices, and end-to-end analytics with Power BI integration.

The ideal candidate has 4–6 years in data engineering, strong SQL/PySpark skills, and experience in cloud environments (Azure).

Qualifications

4–6 years of experience in data engineering or data platform development roles.
Hands-on experience with Microsoft Fabric components: Data Factory, Lakehouse, Notebooks, Pipelines, OneLake, and Synapse.
Strong proficiency in SQL, PySpark, and Dataflow Gen2.
Experience with Delta Lake formats and medallion architecture (Bronze, Silver, Gold).
Familiarity with Power BI integration for end-to-end analytics.
Solid understanding of data modeling, ETL/ELT best practices, and data warehousing.
Experience working in cloud environments (preferably Microsoft Azure).
Strong analytical, troubleshooting, and problem-solving skills.
Effective communication and collaboration in cross-functional teams.

Responsibilities

Design, build, and optimize scalable data pipelines and architectures using Fabric components.
Collaborate with cross-functional teams to deliver enterprise analytics and BI solutions.
Ensure data modeling and governance principles are applied across data platforms.
Troubleshoot performance and reliability issues in data pipelines and data warehouses.