AI-Powered Analytics Engineer

Nimble Gravity, LLC; Región Centro; Remote; MXN 1,693,000 - 2,821,000; Full time

Job summary

Nimble Gravity is seeking an Analytics Engineer & AI Specialist to design and implement data architectures that power AI-driven analytics for financial clients. You will work across data modeling, semantic layers, and semantic views to enable business leadership to ask questions in plain language.

Ideal candidates have extensive SQL, dbt, Python experience, and hands-on use of AI-assisted development. You will collaborate with clients and engineers to deliver scalable, production-ready data

Qualifications

• 8+ years of experience in analytics engineering, data engineering, or related technical role, with some customer-facing work.
• Proficient in SQL; able to write window functions and complex joins without documentation.
• Experience with dbt, data models, QA, and CI/CD pipelines.
• Familiarity with Python-based data pipelines and automation workflows.
• Experience using an AI coding assistant for development tasks.
• Ability to define semantic data models for AI agents and business users.
• Strong communication to translate technical concepts for non-technical leaders.

Responsibilities

• Architect flexible, high-performance data models driving single sources of truth across LOB domains.
• Build data infra using SQL, Python, dbt, and Snowflake for reporting and analysis.
• Develop data QA procedures and automated tests for data models.
• Shape data governance: permissions, lineage and definitions.
• Design semantic models enabling NL queries via Cortex Analyst.
• Create semantic view configurations and YAML/Markdown files for analysts.

Skills

Advanced SQL

Analytics engineering

dbt

Python

AI-assisted development

Semantic modeling

Snowflake Cortex

Client-facing communication

Tools

dbt

Snowflake

Git

Job description

Nimble Gravity is seeking an Analytics Engineer & AI Specialist to design and implement data architectures that power AI-driven analytics for financial clients. You will work across data modeling, semantic layers, and semantic views to enable business leadership to ask questions in plain language.

Ideal candidates have extensive SQL, dbt, Python experience, and hands-on use of AI-assisted development. You will collaborate with clients and engineers to deliver scalable, production-ready data