> Markdown version of [/jobs/ext/640534-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/640534-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** THE JUDGE GROUP, INC. - **Location:** Chandler, AZ, United States (Remote available) - **Experience:** Expert - **Salary:** $162,240.0 - $187,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, ARM Architecture, Business Intelligence Development, Python (Programming Language), Metadata, Microsoft Software, Windows PowerShell, Power BI, SQL Databases, SQL Server Analysis Services, Microsoft Power Automate, Large Language Models, Snowflake, Powerquery, Data Layers, Microsoft Fabric, Databricks - **Published:** June 25, 2026 - **Apply:** https://www.dice.com/job-detail/546e2e3b-ef44-453b-9b23-7cbabceae44b ## About the Role Strong in Snowflake Strong in Power BI Strong in Cube Experienced in Microsoft Fabric Able to lead technically, guide others, and give clear technical direction Proactive, hands-on, and able to work closely with Data Engineers and QA, Snowflake (hands-on) Power BI (advanced) Cube (semantic modeling) Microsoft Fabric SQL, DAX, Power Query SSAS/AAS modeling Experience leading teams or providing technical direction Nice-to-Have Skills AI tools: Snowflake Cortex, Microsoft Copilot Python, PowerShell Databricks Microsoft certifications Experience with LLMs or AI data agents ## Description BI Development Build end-to-end BI solutions using Microsoft technologies Create scalable semantic layers (Fabric, Cube, SSAS/AAS) Design data models, KPIs, and metrics Build Power BI dashboards Support analytics on Snowflake Collaboration & Leadership Manage timelines and deliverables Gather requirements from stakeholders Train and mentor team members Act as a BI best-practices expert Administration & Optimization Manage Power BI Service environments Troubleshoot and optimize reports, cubes, and models Maintain documentation and metadata ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)