Power BI Data Engineer

About Nimbus Data Systems Nimbus Data Systems (Nasdaq: LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systems—enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Nimbus Data Systems also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the world’s most technically demanding sectors, Nimbus Data Systems counts over 60% of the Nasdaq-100 Index among its clients. Position Overview: We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who can architect robust data solutions while creating compelling, insight-driven dashboards that transform complex data into clear, actionable intelligence. This role is expected to interact directly with end users regarding requirements, testing, and implementation. This position is remote with preference to align to one of Nimbus Data Systems ’ s office locations. Key Responsibilities Power BI Development & Visualization Create sophisticated, visually stunning Power BI dashboards and reports that drive business decisions Develop advanced DAX calculations, measures, and calculated columns to support complex analytical requirements Design intuitive, user-friendly interfaces with custom visuals, drill-through capabilities, and interactive features Implement dynamic report features including bookmarks, parameters, field parameters, and dynamic formatting Build composite models and leverage advanced features like aggregations, incremental refresh, and query folding Data Engineering & Architecture Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query, Dataflows, and Azure Data Factory Develop and optimize data models using star schema, snowflake schema, and other dimensional modeling techniques Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or similar platforms Write and optimize complex SQL queries, stored procedures, and database functions for performance and efficiency Establish data governance frameworks, including data quality checks, validation rules, and documentation standards Technical Implementation Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control Implement row-level security (RLS) and object-level security (OLS) for data protection Optimize report performance through query optimization, data model refinement, and DAX tuning Integrate Power BI with various data sources including SQL databases, APIs, SharePoint, Excel, and cloud platforms Automate data refresh schedules and monitor gateway configurations Required Qualifications Technical Skills 3+ years of hands-on experience with Power BI development (Desktop, Service, and Report Server) Expert-level proficiency in DAX (Data Analysis Expressions) and Power Query (M language) Strong SQL skills with experience in database design, query optimization, and performance tuning Solid understanding of data warehousing concepts, dimensional modeling, and ETL principles Experience with data visualization best practices and UI/UX design principles Proficiency in Azure data services (Azure SQL Database, Synapse Analytics, Data Factory, or Fabric) Data & Analytical Expertise Deep understanding of data modeling techniques and relationships (one-to-many, many-to-many, bi-directional) Strong grasp of statistical concepts and analytical methodologies Ability to translate complex business requirements into technical data solutions Experience with data quality assessment and data profiling Professional Competencies Proven ability to create visually compelling, executive-level dashboards and reports Strong problem-solving skills with a hands-on, solution-oriented approach Excellent communication skills to explain technical concepts to non-technical stakeholders Detail-oriented with commitment to code quality and documentation Demonstrated ability to use AI and automation in software engineering Preferred Qualifications CS or CIS bachelor 's degree Microsoft certifications: PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst) Experience with Python or R for advanced analytics integration Familiarity with Git/Azure DevOps for version control and CI/CD pipelines Knowledge of DAX Studio, and other Power BI development tools Experience with Power BI Embedded or custom API development Understanding of data science concepts and predictive analytics Technical Environment Power BI Desktop, Power BI Service, Power BI Premium/Fabric SQL Server, Azure SQL Database, Azure Synapse Analytics Azure Data Factory, Azure Data Lake Storage DAX Studio, Tabular Editor, Power Query Git/Azure DevOps