AI Analytics Engineer

Amtex Systems Inc
Scottsdale, AZ, United States
7 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

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)
+12 more
SQL Databases Sql Optimization GitHub Copilot Large Language Models Claude Code Snowflake AI Coding Agents Git Data Layers Information Technology Data Analytics GPT

Job 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.

Requirements

  • 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

About the company

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.

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