We are looking for an experienced Data Engineer to help shape and deliver Microsoft Fabric solutions that strengthen enterprise data, analytics, and reporting capabilities in Denver, Colorado. This Long-term Contract position will partner closely with business technology stakeholders to define scalable architecture, establish engineering standards, and improve the reliability of data platforms and reporting environments. The role requires hands-on expertise across Microsoft Fabric components, modern data integration approaches, and performance-focused design. You will also guide internal teams through best practices for governance, deployment, and operational readiness.<br><br>Responsibilities:<br>• Evaluate the current and planned Microsoft Fabric environment and identify effective architectural approaches for workspaces, storage, integration, and reporting solutions.<br>• Create reusable data engineering frameworks for ingestion, transformation, and orchestration using Fabric pipelines, notebooks, Dataflows Gen2, Lakehouse structures, and Warehouse objects.<br>• Plan connectivity and data movement strategies for enterprise applications, operational feeds, APIs, file-based inputs, and existing Microsoft or Azure data assets.<br>• Define and recommend governance and security controls, including tenant configuration, workspace permissions, environment separation, sensitivity labeling, and lineage management.<br>• Analyze capacity usage, workload distribution, refresh behavior, storage consumption, and query performance to improve scalability, cost efficiency, and platform stability.<br>• Establish practical DevOps and release management standards for source control, deployment pipelines, environment promotion, documentation, and naming conventions across Fabric assets.<br>• Develop monitoring guidance, operational metrics, alerting approaches, and support runbooks to assist with large-scale Fabric administration.<br>• Lead knowledge-sharing sessions, technical walkthroughs, and documentation efforts so internal teams can effectively manage administration, engineering, governance, and Power BI-related activities.

• 7+ years of experience in data engineering, analytics platform development, or enterprise data architecture roles.<br>• Strong hands-on expertise with Microsoft Fabric, including workspaces, OneLake, Lakehouse, Warehouse, Data Factory pipelines, and semantic modeling.<br>• Proficiency in Python and Apache Spark for building and optimizing scalable data processing solutions.<br>• Experience with ETL design, data pipeline orchestration, and integration of diverse source systems and data feeds.<br>• Working knowledge of Apache Hadoop and Apache Kafka within modern data ecosystem implementations.<br>• Familiarity with Power BI integration, reporting enablement, and performance considerations for analytics workloads.<br>• Understanding of data governance, security administration, access controls, and deployment practices in enterprise environments.

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