AI-Driven Analytics Engineer for Data Platforms

nimblegravity; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

nimblegravity is expanding its Analytics Engineer & AI Specialist team to build robust data foundations powering Snowflake's AI platform. You will design rigorous data models, pipelines, and semantic layers enabling reliable AI agents and natural language interfaces.

Responsibilities include data modeling and governance, QA, and collaboration with LOB teams to surface actionable, trusted data. You will lead workshops and author semantic configurations for non-technical analysts.

Qualifications

• Eight years + experience in analytics engineering or data engineering.
• Experience shipping production data models or pipelines used by non-technical users.
• Strong SQL with window functions and complex joins.
• Experience with dbt projects including testing and CI/CD workflows.
• Ability to translate business requirements into technical specs.
• Proven client-facing communication and stakeholder management.

Responsibilities

• Architect flexible, performant data models driving single sources of truth across domains.
• Build and maintain data infrastructure using SQL, Python, dbt, and Snowflake.
• Develop data QA and automated tests for data models.
• Contribute to data governance, permissions, lineage, and definitions.
• Design semantic models exposing data to NLP queries via Cortex Analyst.
• Create and maintain semantic view configurations and skill files.

Skills

Advanced SQL

Analytics engineering

dbt

Python

AI-assisted development

Semantic modeling

Client-facing communication

Snowflake Cortex

Tools

dbt

Snowflake

Airflow

Job description

nimblegravity is expanding its Analytics Engineer & AI Specialist team to build robust data foundations powering Snowflake's AI platform. You will design rigorous data models, pipelines, and semantic layers enabling reliable AI agents and natural language interfaces.

Responsibilities include data modeling and governance, QA, and collaboration with LOB teams to surface actionable, trusted data. You will lead workshops and author semantic configurations for non-technical analysts.