Data Engineer - Fabric

Since our founding in 2011, our mission has been to improve the lives of seniors and their caregivers. We are deeply passionate about communication and committed to becoming the foremost provider of services and solutions that enable seniors to lead more meaningful and independent lives. We also understand the power of connection and the profound impact it has on the lives of individuals who are hard-of-hearing. By utilizing enhanced automatic speech recognition, human captioning, and innovative product development, we deliver easy-to-use, cutting-edge technology to our primarily senior customer base. Our near real-time phone captioning technology allows individuals with hearing loss to see what callers are saying, enabling them to regain their connection to the world. ClearCaptions is a Federal Communications Commission (FCC)-certified telephone captioning provider, adhering to the highest industry standards of privacy, security, and professionalism. We recognize the importance of maintaining the trust and confidence of our customers, and we continually strive to exceed their expectations. For more information about our services please visit clearcaptions.com. The kind of people we look for: Versatile people who thrive on variety and challenge Excited about working in a fast-paced environment. Innate problem solvers who want to grow in a flexible, collaborative culture. Takes initiative, pushes boundaries, motivated to innovate. Individuals with a growth mindset who want to use their learning and relationship-building skills. Align with our company core values: Integrity, Accountability, Collaboration, Service and Quality. 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. Exp