Analytics Data Engineer — Flexible, Power BI & Fabric

Armanino Advisory LLC; Denver (CO); On-site; USD 90,000 - 125,000; Full time

Benefits offered by this job

Medical, dental, vision

Generous PTO

401K with profit sharing

Wellness program

Parental leave

11 paid holidays

Job summary

Armanino LLP is seeking a data analytics engineer to build and maintain enterprise analytics data products using Microsoft Fabric and Power BI. You will transform source-system data into governed data structures, develop scalable semantic models, and ensure data quality across complex datasets.

The role requires strong SQL, experience with BI tooling, and the ability to work with cross-functional teams to implement robust data solutions in a fast-paced environment.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2+ years in analytics engineering, data engineering, or BI engineering.
• Strong SQL skills including joins, aggregations, window functions, profiling, and reconciliation.
• Experience with analytic datasets, dimensional models, semantic models, or data transformation workflows.
• Knowledge of data engineering fundamentals, grain, keys, relationships, and data quality.
• Ability to work independently with broad objectives and drive tasks to completion.

Responsibilities

• Build and maintain curated Gold-layer datasets and data products in Microsoft Fabric.
• Translate requirements into structured facts, dimensions, and governed logic.
• Develop and support Power BI semantic models with measures, relationships, security, and performance.
• Perform data transformations using SQL, Python, Spark, or Power Query.
• Collaborate with senior engineers and stakeholders; participate in Git-based development and CI/CD processes.

Skills

SQL

Analytics engineering

Data modeling

Problem solving

Communication

Education

Bachelor's degree in CS / Information Systems / Data Analytics

Tools

Python

Spark

Power BI

Git/GitHub

Job description

Armanino LLP is seeking a data analytics engineer to build and maintain enterprise analytics data products using Microsoft Fabric and Power BI. You will transform source-system data into governed data structures, develop scalable semantic models, and ensure data quality across complex datasets.

The role requires strong SQL, experience with BI tooling, and the ability to work with cross-functional teams to implement robust data solutions in a fast-paced environment.