Data & AI Solutions Developer - Fabric, AI & Power BI

Cerrowire

United States

On-site

USD 80,000 - 120,000

Full time

5 days ago
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Benefits offered by this job

Health benefits
Holiday pay
Vacation and PTO
Tuition Reimbursement
401k with company matching

Job summary

Cerrowire, a Marmon/Berkshire Hathaway company, is seeking a Data & AI Solutions Developer to build governed data products and BI/AI experiences on Fabric and Azure AI Foundry. The role emphasizes secure, measurable AI and data pipelines aligned with business needs.

You will collaborate with analysts and engineers to design, deploy, and monitor data/AI solutions, delivering production-ready components and dashboards while ensuring scale, cost, and governance compliance.

Qualifications

  • Authorized to work in the United States on a permanent basis.
  • 3–5 years in BI, analytics engineering, data engineering or software development.
  • Hands-on with Fabric or comparable cloud data platform.
  • Strong SQL and data-structure troubleshooting.
  • Experience with Power BI semantic modeling and DAX.
  • Experience developing at least one generative AI solution.

Responsibilities

  • Build gold-layer data products, semantic models and metrics in Fabric.
  • Develop Power BI reports and Copilot-enabled experiences.
  • Design, build and deploy AI agents and RAG solutions on Azure Foundry.
  • Ensure data governance, security and monitoring across AI solutions.
  • Collaborate with stakeholders and mentor peers.

Skills

SQL
Python
Power BI
Git
Generative AI

Education

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

Tools

Microsoft Fabric
Azure AI Foundry
Git-based version control

Job description

Cerrowire, a Marmon/Berkshire Hathaway company, is seeking a Data & AI Solutions Developer to build governed data products and BI/AI experiences on Fabric and Azure AI Foundry. The role emphasizes secure, measurable AI and data pipelines aligned with business needs.

You will collaborate with analysts and engineers to design, deploy, and monitor data/AI solutions, delivering production-ready components and dashboards while ensuring scale, cost, and governance compliance.

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