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# Analytics Engineer

- **Company:** Modal Labs
- **Location:** New York, NY, United States
- **Salary:** $150,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Encodings, Python (Programming Language), SQL Databases, Large Language Models, Snowflake, Data Analytics, Data Pipelines
- **Published:** September 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8342a8f2ea1f366d

## About the Role

* SQL fluency, Python proficiency
 * Professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, Posthog
 * Ability to extend their work beyond just data reporting and into action and impact
 * High attention to detail
 * Excellent and precise communicator
 * Strong personability and relationship building skills

Nice-to-Have:

 * Experience with AI products, especially LLM inference and sandboxes
 * Experience in fin ops, fraud, sales ops, or risk, especially in the context of AI (e.g. token cost optimization)
 * Project management skills
 * Strong presence in the data community online and offline

## Description

We're growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction.

The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via:

 * Self-serve AI analytics tools (Hex, Snowflake)
 * Embedding with teams as a "data adviser", providing strategic analysis and consulting

What You'll Do:

 * Contribute to building the most modern analytics stack in Data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting
 * Influence work on new products like LLM Inference Endpoints through product analytics tracking
 * Identify millions of dollars of cost savings and optimization across our tools and financial operations
 * Write data pipelines that power the operations of our business, such as our cloud compute economics or sales comp
 * Create foundational datasets that can be used by people and AI tools to answer questions around product use cases, financial reporting, and marketing campaigns


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