> Markdown version of [/jobs/ext/4164909-ai-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/4164909-ai-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). --- # AI Analytics Engineer - **Company:** Amtex Systems Inc - **Location:** Scottsdale, AZ, United States - **Experience:** Experienced - **Contract:** Contract - **Skills:** Airflow, Data Analysis, ARM Architecture, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Data Governance, Data Mart, Python (Programming Language), Operational Data Store, SAP (Applications), SQL Databases, Sql Optimization, GitHub Copilot, Large Language Models, Claude Code, Snowflake, AI Coding Agents, Git, Data Layers, Information Technology, Data Analytics, GPT - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/7c4eea62-284a-4e6e-91ed-9ba2ede2b79d ## About the Role * Strong experience with dbt Core/Cloud, including incremental models, testing, documentation, and data quality. * Advanced SQL, Snowflake, and Python skills. * Experience with SAP/ERP data modeling and data marts. * Knowledge of semantic layers, business metrics, and BI/dashboard datasets. * Hands-on use of AI coding assistants such as Claude Code, ChatGPT Codex, or GitHub Copilot. * Experience with Git, code reviews, and CI/CD workflows. * 3+ years in Analytics Engineering, Data Engineering, or BI Engineering. * Bachelor's degree in computer science, Engineering, Mathematics, or related field. Nice to Have * Hex dashboards, Snowflake Cortex Analyst, dbt Semantic Layer/Metric Flow, or Dagster. * Energy, utilities, financial services, or asset management experience. * Knowledge of financial metrics, revenue modeling, and data governance ## Description Seeking an AI Analytics Engineer with 3+ years of experience building production dbt models using Snowflake, SQL, and Python. Responsible for transforming SAP/ERP financial and operational data into reliable data marts, semantic models, and analytics-ready datasets for Hex dashboards and LLM-powered analytics.