Build Microsoft Fabric data solutions at 360insights using Python, PySpark, and Power BI in a hands-on mid-level engineering role. Support reliable analytics for reporting and client-facing needs.
As a Data Platform Engineer, you will develop and maintain ingestion, transformation, pipelines, lakehouses, semantic models, dashboards, and reports. You will contribute to platform operations, reporting modernization, and AI-assisted engineering workflows. The role reports to the Head of Data Platform and supports business reporting, operational insights, and client-facing reporting needs.
Key Responsibilities:
- Build Fabric transformations with PySpark notebooks and Dataflow Gen2
- Develop bronze, silver, and gold data models
- Monitor pipelines, lakehouses, semantic models, and platform processes
- Investigate failures and implement corrective solutions
- Develop Power BI models, dashboards, reports, and DAX measures
Requirements:
- Two to five years in data or analytics engineering
- Experience with Microsoft Fabric or modern cloud data platforms
- Production pipeline and transformation experience
- Proficiency in Python and PySpark or similar frameworks
- Git workflows and AI-assisted development experience
Apply data engineering, Microsoft Fabric, Python, PySpark, and Power BI skills to evolve 360insights' reporting platform.
Microsoft Fabric Data Engineer employer: Rippling
Rippling is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Seattle. With a focus on employee growth, you will have the opportunity to mentor senior engineers while working on high-impact projects that handle billions in transactions annually. The company's commitment to collaboration across departments ensures a rewarding environment where your contributions directly influence the success of the Money Movement & Treasury hub.
