Sr. Software Engineer - Analytics Engineering
SHI International Corp.About the role
About Us
Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:
Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
Continuous professional growth and leadership opportunities.
Health, wellness, and financial benefits to offer peace of mind to you and your family.
World-class facilities and the technology you need to thrive – in our offices or yours.
Job Summary
We are seeking a highly skilled Sr. Software Engineer - Analytics Engineering with deep expertise in semantic modeling, DAX, and the Microsoft Fabric analytics ecosystem. This role is responsible for designing, optimizing, and maintaining enterprise-grade Power BI semantic models that deliver accurate, scalable, and actionable insights across the organization. The ideal candidate combines strong technical modeling expertise with business acumen, collaboration skills, and a commitment to data quality, governance, and performance.This position is required to report to the Austin, TX or Somerset, NJ location on a hybrid basis.
Role Description
Semantic Modeling and DAX
Design, build, and optimize Power BI semantic models using Power BI Desktop, Tabular Editor, and related modeling tools.
Develop advanced DAX measures and calculations to support complex business logic, reporting requirements, and analytical use cases.
Ensure semantic models are scalable, maintainable, high-performing, and aligned with enterprise standards and best practices.
Optimize semantic models within Microsoft Fabric, including performance tuning, model architecture, refresh processes, and usability.
Troubleshoot Power BI models, measures, and refresh processes to improve reliability, efficiency, and user experience.
Microsoft Fabric and Analytics Engineering
Develop and maintain Power BI datasets, reports, dataflows, and related assets supporting enterprise analytics solutions.
Implement row-level security, incremental refresh, and other Power BI capabilities to support secure and efficient reporting.
Work within Microsoft Fabric to deliver analytics solutions across lakehouse, warehouse, data pipeline, and semantic model components.
Apply data modeling, analytics engineering, and performance optimization techniques to meet business and technical requirements.
Support the design and delivery of scalable and governed enterprise analytics platforms.
Collaboration, Governance, and Enablement
Partner with data engineers, analysts, business stakeholders, and report developers to understand requirements and deliver trusted analytics solutions.
Support BI governance initiatives through documentation, data quality practices, Microsoft Purview alignment, and version control processes.
Provide technical guidance, training, and support to end users, analysts, and junior developers.
Promote standards for semantic model design, naming conventions, documentation, security, governance, and lifecycle management.
Behaviors and Competencies
Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.
Listening: Can actively engage in listening by asking clarifying questions and providing feedback that shows a deep understanding of the conversation.
Presenting: Can design and deliver engaging presentations, adapting the content and style to suit the audience, context, and medium.
Adaptability: Can proactively adapt to challenging situations, anticipate changes, and make modifications to meet the demands of changing circumstances.
Problem-Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.
Initiative: Can proactively seek out challenges, initiate projects, and contribute to innovative ideas.
Prioritization: Can proactively identify high-impact tasks, initiate action plans, and contribute to process improvements.
Time Management: Can consistently use time effectively, ba
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