[Hiring] Data and Analytics Engineer @Nimble Gravity

Role Description

As Analytics Engineers, you would combine insurance domain expertise with full-stack data and analytics engineering capabilities. You will help build the data foundations that power Snowflake's AI platform.

This role is focused on the layers that make AI reliable:

• Clean, well-modeled data
• Governed pipelines
• Semantic models that expose business meaning to natural language interfaces

You will design rigorous data models, build data pipelines, and construct the semantic layer that sits between raw data and AI agents. You will be responsible for setting up data that is structured, trusted, and agent-ready. The deployment patterns and data model gaps you surface feed directly back to LOB teams, making you both a practitioner and a source of signal for what gets built next.

Qualifications

• Advanced SQL: CTEs, window functions, incremental pipeline patterns. You can write complex queries without referencing documentation.
• Analytics engineering and data modeling: 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.
• dbt: Experience building and maintaining dbt projects with testing, documentation, and CI/CD pipelines.
• Python: Modern, type-hinted, readable. You understand Python-based data pipelines and automation workflows.
• AI-assisted development: You have used an LLM coding assistant (CoCo, Cursor, GitHub Copilot, Claude, or equivalent) as your primary development environment. Daily usage is the baseline.
• Semantic modeling: You can write a semantic view configuration or structured skill file that handles edge cases and encodes enough domain knowledge that the model behaves like a subject matter expert.
• Client-facing communication: You write code, but your output needs to make sense to a business leader who has never opened a terminal. You are the translation layer between what Snowflake's AI can do and what the customer actually needs.
• Snowflake Cortex: Cortex Analyst, Cortex Agents, Cortex Search, semantic views, Dynamic Tables.

Requirements

• 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.

Benefits

• You'll help leading financial institutions and other clients adopt AI in meaningful ways.
• You'll work directly with clients, engineers, and AI specialists to turn emerging technology into measurable business outcomes.
• If you enjoy teaching, facilitating, influencing, and helping people embrace new ways of working, we'd love to talk.

Company Description

Nimble Gravity is an Equal Opportunity Employer and considers applicants without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

We do not sponsor H1B visas.