Data Warehouse/Microsoft Fabric Engineer

Parsons Corporation is a leading company in critical infrastructure solutions, seeking a Data Warehouse/Microsoft Fabric Engineer. The role involves designing, developing, and maintaining scalable data warehouse solutions to support analytics and reporting, with a focus on building efficient data pipelines and ensuring data integrity.

Responsibilities:

• Design, develop, and maintain enterprise data warehouse solutions using modern data warehousing principles
• Experience using Microsoft Fabric
• Build and manage ETL/ELT pipelines to ingest and transform data from various structured and unstructured sources
• Develop and maintain dimensional data models optimized for analytics and reporting
• Write efficient, scalable SQL queries and optimize database performance
• Integrate data from systems such as relational databases, cloud platforms, APIs, SharePoint, flat files, and enterprise applications
• Support data preparation and modeling needs for analytics platforms such as Power BI
• Implement data validation, monitoring, and quality control processes to ensure data integrity
• Collaborate with analytics and application development teams to support reporting and application requirements
• Support cloud-based data platform development, primarily within the Microsoft Azure ecosystem
• Work with both traditional ETL tools and modern cloud-based data integration tools
• Document data models, pipeline processes, and system architecture
• Design and implement data warehouse schemas, including fact and dimension tables
• Develop ETL/ELT pipelines using Azure Data Factory, SSIS, Microsoft Fabric, or similar tools
• Build and maintain Azure SQL databases, data lakes, Synapse, or Fabric-based warehouse environments
• Transform and integrate data from multiple enterprise systems into centralized warehouse environments
• Work with structured and semi-structured data formats, including Parquet files, CSV, and JSON
• Optimize data structures and queries to improve performance and scalability
• Support Power BI development teams by providing clean, structured, and performant data models
• Assist in the design and implementation of cloud-based data platform architecture
• Support backend data integration for Power Platform solutions, including Power BI and Power Pages
• Troubleshoot and resolve data pipeline, performance, and integration issues
• Assist in establishing and maintaining data engineering and data warehousing best practices

Requirements:

• High School Diploma
• 3–7+ years of experience in data engineering, data warehousing, or related field
• Extensive experience using Microsoft Fabric
• Strong proficiency in SQL, including query optimization, indexing, and performance tuning
• Experience designing and implementing data warehouse architectures and dimensional data models
• Experience developing ETL/ELT pipelines and data integration workflows
• Experience with SQL Server Integration Services (SSIS)
• Experience working with relational databases such as SQL Server, Azure SQL, or similar platforms
• Experience working with structured and semi-structured data formats, including Parquet files
• Experience working within Microsoft Azure data ecosystem, including tools such as: Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage
• Experience supporting Power BI semantic models and analytics environments
• Experience working with data lake architectures and modern cloud data platforms
• Experience with scripting languages such as Python and PySpark for data processing and automation
• Experience supporting Power Platform solutions, including Power BI and Power Pages
• Experience working in consulting or project-based environments