Analytics Engineer for AI-Powered Data Platform

Nimble Gravity, LLC; Tijuana; On-site; MXN 750,000 - 1,100,000; Full time

Job summary

Nimble Gravity, LLC is seeking an Analytics Engineer & AI Specialist to design and implement data infrastructure across ingestion, modeling, and semantic layers, enabling AI agents to reason over enterprise data. You will balance engineering rigor with customer-facing collaboration to deliver reliable data products.

You will own data models, semantic views, and documentation, while leveraging Cortex, Snowflake, and dbt to build scalable pipelines and governance, in a production-ready environment

Qualifications

• 8+ years of experience in analytics engineering, data engineering, or a related technical role, with at least a portion of it customer-facing or cross-functional
• Daily use of an AI coding assistant as a primary development tool
• Proficient in SQL; can write window functions and complex joins without referencing documentation
• Experience with dbt
• Has shipped production data model or pipeline that non-technical business users actually relied on
• Comfortable in Git (PRs, branches, code review)
• Demonstrable Experience Translating Business Requirements Into Technical Specifications

Responsibilities

• Architect flexible, performant data models that drive LOB teams toward single sources of truth across their LOB business domains
• Use SQL, Python, dbt, and Snowflake to build and maintain data infrastructure for reporting, analysis, and automation
• Perform data QA and develop automated testing procedures for Snowflake data models
• Provide input into data governance strategies including permissions, data lineage, and data definitions
• Design Data security so that the model only has access to the data
• Build semantic data models that expose LOBs data to natural language queries via Cortex Analyst, turning complex schemas into something a business stakeholder and Clients can ask a question of
• Define and validate the metrics, dimensions, and relationships that AI agents need to reason correctly over LOBs data
• Identify and resolve gaps in data structure, naming, and coverage that would cause an agent to fail or produce incorrect results
• Documented playbooks, reusable data model templates, and semantic model libraries that can be maintained and extend
• Run technical workshops to upskill other team members
• Author semantic view configurations and skill files (YAML + Markdown) that a non-technical analyst can invoke in plain English
• Experience building data infrastructure involving large-scale relational datasets; strong instincts for pipeline design, QA, and testing across the full stack from ingestion through semantic layer

Skills

SQL

Python

dbt

Snowflake

Analytics engineering

Data modeling

Data QA

Git

Airflow

LLM coding assistant

Cortex

Tools

dbt

Snowflake

Git

Python

Job description

Nimble Gravity, LLC is seeking an Analytics Engineer & AI Specialist to design and implement data infrastructure across ingestion, modeling, and semantic layers, enabling AI agents to reason over enterprise data. You will balance engineering rigor with customer-facing collaboration to deliver reliable data products.

You will own data models, semantic views, and documentation, while leveraging Cortex, Snowflake, and dbt to build scalable pipelines and governance, in a production-ready environment