OneMain Financial Jobs

Description

We are looking for a Data Engineer to strengthen and expand an established Microsoft Fabric data environment. This Long-term Contract position is ideal for someone who can turn business data into reliable, well-structured assets that support reporting and decision-making. The role requires a hands-on engineer who can shape data architecture, build scalable pipelines, and communicate clearly with both technical teams and business stakeholders.

Responsibilities:

• Expand and improve an existing Microsoft Fabric platform to support dependable, scalable analytics solutions.

• Create and maintain a layered data architecture across Bronze, Silver, and Gold tiers, with emphasis on delivering trusted and business-ready curated datasets.

• Build ingestion and transformation processes for Salesforce data along with information from additional enterprise sources.

• Develop data models that improve accuracy, usability, and reporting value by evaluating structure, relationships, and downstream needs.

• Support the shift away from older warehouse and spreadsheet-driven reporting practices by introducing more modern data engineering approaches.

• Work autonomously to manage priorities while providing regular updates on progress, technical decisions, and potential risks.

• Collaborate with business partners to understand reporting goals and translate them into practical data solutions.

• Contribute to data processing and integration workflows using technologies such as Python, Spark, ETL frameworks, and related platform tools.

Requirements • Demonstrated hands-on experience building solutions within Microsoft Fabric.

• Strong knowledge of data modeling principles and layered data design, including Bronze, Silver, and Gold architecture.

• Experience working in Azure-based data ecosystems and cloud data platforms.

• Proven ability to evaluate requirements critically and recommend sound data design choices rather than simply executing requests.

• Background in integrating, transforming, and modeling Salesforce data for analytics use cases.

• Familiarity with traditional warehousing or spreadsheet-heavy reporting environments and how to modernize them.

• Exposure to Power BI and an understanding of how reporting needs influence data structure and delivery.

• Proficiency with core data engineering tools and concepts, including Python, Apache Spark, ETL processes, and related big data technologies. Technology Doesn't Change the World, People Do.®

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