Senior Analytics Engineer: Power BI & Fabric (Onsite)

Rippling, Inc.; Irving (TX); On-site; USD 100,000 - 140,000; Full time

Job summary

Orion180 is seeking a Senior Analytics Engineer to design, build, and scale enterprise Power BI solutions using Fabric technology. You will create semantic models, optimize dashboards, and work with stakeholders to transform data into actionable insights.

The role emphasizes ownership, curiosity, and the ability to operate in ambiguity, with a strong collaboration across data, analytics, and business teams. On-site in Irving, TX, with competitive compensation and growth opportunities.

Qualifications

• 5+ years developing enterprise BI solutions.
• 3+ years advanced Power BI development with semantic modeling and performance optimization.
• Experience using Python and SQL for data analysis, automation, and data quality validation.
• Hands-on experience with Microsoft Azure and Microsoft Fabric preferred.
• Proficient in Power BI, DAX, Power Query (M) and data modeling.
• Familiarity with Fabric, OneLake, and data governance practices.
• Excellent communication and stakeholder management skills.
• Strong analytical and problem-solving abilities.

Responsibilities

• Design, develop, and scale enterprise reporting and analytics solutions.
• Build centralized semantic models and high-performance Power BI dashboards.
• Collaborate with leaders across data, analytics, engineering and operations to drive insights.

Skills

Power BI

DAX

SQL

Python

Data Modeling

Education

Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or related field

Tools

Microsoft Fabric

OneLake

Fabric Data Warehouse

SQL Server / T-SQL

Job description

Orion180 is seeking a Senior Analytics Engineer to design, build, and scale enterprise Power BI solutions using Fabric technology. You will create semantic models, optimize dashboards, and work with stakeholders to transform data into actionable insights.

The role emphasizes ownership, curiosity, and the ability to operate in ambiguity, with a strong collaboration across data, analytics, and business teams. On-site in Irving, TX, with competitive compensation and growth opportunities.