Senior BI Engineer

Shermco Industries•Irving, TX

4d•$120,000 - $135,000

About The Position

Overview We are seeking a highly skilled Senior BI Engineer to join our dynamic Data & Analytics team. This role is pivotal in advancing the maturity and scalability of our data estate and business intelligence initiatives. The Senior BI Engineer will be responsible for designing, developing, and implementing comprehensive reports/dashboards and data pipelines that empower stakeholders across the organization to make data-driven decisions. As a key contributor, you will balance technical expertise with a business-first mindset, driving continuous value through iterative development and close collaboration with stakeholders Shermco Industries is seeking a Senior BI Engineer Responsibilities End-to-End BI Development Design, develop, and deploy BI solutions, including data pipelines, models, and reports. Manage the full report lifecycle, from data ingestion to publication, documentation, and training. Implement robust data models using Power BI, focusing on scalability, accuracy, and performance. Data Exploration and Documentation Reverse engineer processes and logic to document and improve existing reporting workflows. Create and maintain a comprehensive data dictionary and catalog for the organization’s data estate. Business Enablement and Collaboration Partner with stakeholders across all business areas to understand requirements and identify Minimum Viable Products (MVPs) for rapid development. Translate business needs into actionable KPIs, metrics, and visualizations that drive decision-making. Provide training and support to business users to promote self-service analytics. Technology and Process Alignment Leverage Microsoft Fabric features to optimize data pipelines and reporting infrastructure. Utilize the Microsoft Technology Stack (365, SharePoint, Teams, etc.) to streamline collaboration and workflows. Work within Agile development practices, including sprint planning, task tracking, and collaboration using tools like Jira. Continuous Improvement Lead efforts to track, standardize, and improve organizational metrics/KPI reporting. Implement best practices for BI development, including version control, governance, and documentation. Proactively identify and address gaps in data quality, reporting processes, or infrastructure scalability. Stay abreast of the latest trends, technologies, and best practices in data and BI.

Requirements

Bachelor’s degree in Computer Science, Software Development, or related field.
Minimum of 5-7 years of experience in data modeling and report development.
Extensive experience with Power BI, including data modeling, DAX, report creation, and publishing.
Expertise in designing and implementing data and BI solutions, including data pipelines, data warehouses, and dashboards.
Experience with Microsoft Fabric and other tools in the Microsoft Stack (e.g., SharePoint, Teams, Power Automate, Azure Data Factory, Power Query, etc).
Strong understanding of data ethics, governance, and quality standards.
Proficiency in SQL required, Python is a plus
Fundamental leadership skills, with the ability to mentor and coach junior data and BI professionals.
Strong communication and interpersonal skills, with the ability to explain complex data and BI concepts to non-technical stakeholders.
Strong analytical and problem-solving abilities, with the ability to apply BI techniques to solve real-world problems.
Ability to think creatively and innovatively, and keep up with the latest trends, technologies, and best practices in data and BI.

Nice To Haves

Relevant certifications and/or advanced degrees a plus

Responsibilities

Design, develop, and deploy BI solutions, including data pipelines, models, and reports.
Manage the full report lifecycle, from data ingestion to publication, documentation, and training.
Implement robust data models using Power BI, focusing on scalability, accuracy, and performance.
Reverse engineer processes and logic to document and improve existing reporting workflows.
Create and maintain a comprehensive data dictionary and catalog for the organization’s data estate.
Partner with stakeholders across all business areas to understand requirements and identify Minimum Viable Products (MVPs) for rapid development.
Translate business needs into actionable KPIs, metrics, and visualizations that drive decision-making.
Provide training and support to business users to promote self-service analytics.
Leverage Microsoft Fabric features to optimize data pipelines and reporting infrastructure.
Utilize the Microsoft Technology Stack (365, SharePoint, Teams, etc.) to streamline collaboration and workflows.
Work within Agile development practices, including sprint planning, task tracking, and collaboration using tools like Jira.
Lead efforts to track, standardize, and improve organizational metrics/KPI reporting.
Implement best practices for BI development, including version control, governance, and documentation.
Proactively identify and address gaps in data quality, reporting processes, or infrastructure scalability.
Stay abreast of the latest trends, technologies, and best practices in data and BI.