Sr. Software Engineer - Analytics Engineering

SHI International Corp.•Austin, TX

9d•$125,000 - $140,000•Hybrid

About The Position

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.

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.
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 Toolkit.
Experience working with Microsoft Fabric, including semantic models and analytics workloads.
Familiarity with lakehouse storage concepts and file formats such as Parquet and Delta.
Experience with Agile delivery practices and version control using GitHub or similar tools.
Ability to travel 10%

Nice To Haves

Certification in Microsoft Power BI, Microsoft Fabric, Azure, or related Microsoft data platforms.
Experience using Python for data analysis, automation, or analytics engineering workflows.
Experience with PowerApps automation and Copilot Studio.

Responsibilities

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.
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.
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.