Data Engineer - Fabric (100% Remote)

Position Summary: The Data Engineer - Fabric collaborates with cross-functional teams to gather data requirements, develops efficient data solutions, and ensures the accurate formatting and storage of enterprise data leveraging OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and Notebooks. The role works closely with the reporting team to provide actionable insights based on reliable and repeatable data. In addition, the role is responsible for documentation, data governance, and providing level II/III support for ETL and/or warehousing solutions. This role reports to the Sr. Data Engineering & Report Visualization Manager.   What This Role Does: Collaborates with cross-functional teams to understand data and analytical requirements and translates them into effective Microsoft Fabric–based data solutions. Designs, develops, and maintains end-to-end data ingestion and transformation processes using Microsoft Fabric OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and Notebooks. Formats, cleanses, and stores data in a structured manner to ensure data quality and accessibility for reporting and analysis, following Medallion Architecture. Works closely with reporting and analytics teams to ensure datasets are accurate, well-modeled, and optimized for Power BI and other analytical workloads. Creates comprehensive documentation for data pipelines, processes, and solutions. Participates in data governance activities to ensure data integrity, security, and compliance. Utilizes source control to manage and track changes to data pipelines and codebase. Provides level II/III support to troubleshoot and resolve data-related issues and inquiries. Provides ancillary support for Machine Learning (ML) and Artificial Intelligence (AI) processes Stays updated with industry trends and best practices related to data warehousing, ETL, and data engineering. Manages and optimizes Microsoft Fabric platform performance by monitoring capacity utilization, query performance, Lakehouse and Warehouse workloads, Delta table maintenance (OPTIMIZE/VACUUM), data partitioning, storage consumption, and pipeline execution to ensure scalable, reliable, and cost-effective data operations. Develops and maintains monitoring, alerting, and observability solutions for Microsoft Fabric pipelines, notebooks, Lakehouses, Warehouses, semantic models, and related data platform components to ensure operational reliability and rapid issue resolution. Performs other duties as assigned.   What You Will Bring: Bachelor's degree in computer science, information technology, or a related field (or equivalent experience). A minimum of three (3) years of proven experience in data engineering, ETL development, and data warehousing. Highly experienced with Microsoft Fabric, including OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and/or Notebooks. Solid understanding of Medallion Architecture, Delta Lake concepts, data modeling, and modern analytics patterns. Experience with data governance, data quality, and data security frameworks and standards. Experience monitoring and optimizing Microsoft Fabric Capacity utilization, workload performance, and resource consumption is preferred. Solid grasp of Continuous Integration Continuous Delivery (“CI/CD”), including source control, deployment pipelines, and release management practices. Experience with Git-based source control and collaborative development workflows. Expertise in integrating Fabric solutions with Power BI, Azure services, and external data sources. Experience with Apache Spark and PySpark within Microsoft Fabric. Excellent verbal and written communication skills, presentation, problem-solving skills and attention to detail. Self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes. Ability to guide and support others through collaboration, including assisting teammates and contributing to shared processes, to foster a high-quality, team-oriented, fast-paced environment that drives results.  Demonstrated ability to use discretion, make sound decisions, and maintain confidentiality. Willingness and ability to work flexible hours.  Proficiency in MS Office (including Excel, Outlook, PowerPoint, Visio, & Word) and modern communication tools for virtual teams (e.g., MS Teams, Slack). Preferred: Expertise in developing data pipelines to support Machine Learning (ML) and / or Artificial Intelligence (AI) tools.     Physical Demands: In accordance with the Americans with Disabilities Act (ADA) and applicable state and local laws, the Company will provide reasonable accommodations to qualified individuals with documented disabilities to enable them to perform the essential functions of the job, unless such accommodations would impose an undue hardship. Employees seeking accommodation should contact the People Department to initiate the interactive process. Employees may experience the following physical demands for extended periods of time: Sitting, standing, and walking (95-100%) Keyboarding (70-90%) Viewing computer monitor, tablet, and cell phone requiring close vision (70-90%)   Work Environment: 100% Remote: Work environment is at home.