Enterprise Analytics Engineer: Power BI & Fabric

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

Benefits offered by this job

Medical benefits

PTO & holidays

Flexible work arrangements

401K with match

Wellness program

Parental leave

Job summary

Armanino is seeking an Analytics Engineer to build and maintain data products in Microsoft Fabric and to develop robust Power BI models. You will translate business requirements into governed data structures, implement tests, and collaborate with senior engineers to learn patterns and governance practices.

Qualifications include a 2+ year track record in analytics engineering, strong SQL, and experience with Power BI, Python, and Git.

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• 2+ years in analytics engineering, data engineering, BI engineering, or related technical role.
• Strong SQL skills including joins, aggregations, window functions, profiling, and reconciliation.
• Experience building or supporting analytical datasets, dimensional models, semantic models, or data transformation workflows.
• Understanding of data engineering/analytics fundamentals: grain, keys, relationships, and validation.
• Ability to work independently with broad objectives and drive tasks to completion.
• Strong problem-solving, learning agility, and business-process understanding.
• Ability to design and execute practical validation/testing plans for data accuracy and deployment readiness.
• Attention to detail with source control, documentation, and operational standards.
• Excellent written and verbal communication, collaborating with senior engineers while managing day-to-day priorities.

Responsibilities

• Build and maintain curated datasets and data products within Microsoft Fabric.
• Translate requirements into structured facts, dimensions, and governed logic for analytics.
• Develop and optimize Power BI semantic models and security, performance, and refresh behavior.
• Tackle low to moderate complexity engineering work with limited direction.
• Collaborate with senior analytics engineers to learn architecture and patterns.
• Transform and validate data using SQL, Python, Spark, notebooks, DAX, or Power Query.
• Create unit tests, reconciliations, and deployment validation for data accuracy.
• Participate in Git-based development with PRs, reviews, and traceability.
• Learn and contribute to CI/CD, Fabric deployment pipelines, and release automation.
• Investigate data discrepancies and defects; document findings with evidence.
• Create and maintain technical docs, data mappings, runbooks, and lineage information.
• Collaborate with Enterprise Analytics, DataOps, governance, and stakeholders.

Skills

SQL proficiency

Problem solving

Learning agility

Written & verbal communication

Independent work

Education

Bachelor's degree in CS, IS, Data Analytics, or related field

Equivalent practical experience

Tools

Power BI

SQL

Python

Spark

Power Query

DAX

Git

Azure DevOps

Job description

Armanino is seeking an Analytics Engineer to build and maintain data products in Microsoft Fabric and to develop robust Power BI models. You will translate business requirements into governed data structures, implement tests, and collaborate with senior engineers to learn patterns and governance practices.

Qualifications include a 2+ year track record in analytics engineering, strong SQL, and experience with Power BI, Python, and Git.