Sr. Software Engineer - Analytics Engineering

About this 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, balance multiple tasks, and meet deadlines.

• Technical Expertise: Can apply technical knowledge and skills effectively in complex situations and can guide others in the application of technical knowledge and skills.

• Teamwork: Can lead a team effectively, facilitating cooperation, sharing information, and ensuring that all team members are able to contribute to their full potential.

Skill Level Requirements • Advanced expertise in analytics engineering, semantic modeling, and enterprise reporting solutions.

• Strong proficiency with DAX, including the ability to design and implement complex business calculations.

• Deep understanding of data warehousing concepts, dimensional modeling, star schema design, and analytics modeling best practices.

• Experience applying data modeling, optimization, and performance tuning techniques to enterprise analytics solutions.

• Strong analytical, troubleshooting, problem-solving, communication, and collaboration skills.

• Ability to work effectively with technical teams and business stakeholders.

• Experience implementing reporting security, governance standards, and data quality best practices.

• Familiarity with Agile delivery methodologies and version control practices.

Other Requirements • Bachelor's degree in Computer Science, Software Engineering, or a related field, or relevant work experience required

• 5+ years of experience developing Power BI solutions, including semantic models, reports, and enterprise analytics assets.

• Hands-on experience with Power BI tools such as Tabular Editor, DAX Studio, and ALM

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