Enterprise Analytics Engineer

Armanino; Chicago (IL); On-site; USD 90,000 - 125,000; Full time

Benefits offered by this job

Medical, dental, vision

Generous PTO

Flexible work arrangements

401K with company match

Wellness program

Parental leave

11 paid holidays

Job summary

Armanino LLP is seeking a data analytics engineer to build curated Gold-layer datasets and governance-ready data products within Microsoft Fabric. You will translate business requirements into fact tables, dimensions, and semantic models, and collaborate with senior engineers to scale architecture and patterns.

The role emphasizes strong SQL, Power BI, and BI development skills, with opportunities to advance in a fast-growing analytics practice across industries.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2+ years in analytics engineering, data engineering, BI engineering, or related role.
• Strong SQL knowledge with joins, aggregations, window functions, and data profiling.
• Experience building analytical datasets, dimensional models, or data transformation workflows.
• Understanding of data engineering and analytics fundamentals, including grain and relationships.
• Ability to work independently and drive tasks to completion.

Responsibilities

• Build and maintain curated Gold-layer datasets and data products in Microsoft Fabric.
• Translate source data into structured facts, dimensions, and governed logic for analytics.
• Develop and support Power BI semantic models with measures, relationships, and security.
• Own low to moderate engineering work with limited direction and quality checks.
• Collaborate with senior analytics engineers to learn architecture and patterns.
• Use SQL, Python, Spark, DAX, and Power Query for data transformation and validation.
• Create unit tests and deployment validations to ensure data quality and readiness.
• Participate in Git-based development, PRs, reviews, and CI/CD pipelines.
• Document data lineage, business rules, and deployment procedures.

Skills

SQL

Python

Spark

Power BI

DAX

Git

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Engineering, or related field

Tools

Microsoft Fabric

Power BI

Git

Azure DevOps

Job description

Armanino LLP is seeking a data analytics engineer to build curated Gold-layer datasets and governance-ready data products within Microsoft Fabric. You will translate business requirements into fact tables, dimensions, and semantic models, and collaborate with senior engineers to scale architecture and patterns.

The role emphasizes strong SQL, Power BI, and BI development skills, with opportunities to advance in a fast-growing analytics practice across industries.