Analytics Engineer, AI Enablement (Remote)

About the team

Symetra's AI Enablement team is a fast-growing team of builders inside our Data Analytics organization. Our goal is to accelerate AI adoption across the company in two ways: by building shared platforms, tooling, and patterns that let other teams effectively integrate AI into their workflows, and by shipping AI-powered applications for the most important use cases.

We work in small, cross-functional teams, build with the people who use what we make, and move fast. Our first product in production, docstream, is an AI-powered document-processing platform that currently supports several of Symetra's back-end operational processes. We plan to continue to operate on docstream and to build out other products using the same modular architecture, integrating third-party products where it makes sense.

About the role

As an Analytics Engineer, you'll help build the data platform our AI products run on the pipelines and storage for the documents and other unstructured data our AI applications use. You'll build the clean, reliable datasets the rest of the team depends on.

What you will do

• Build and maintain the pipelines and datasets that feed our AI products.
• Help store and serve the data our AI applications need, including documents and other unstructured data.
• Solve data integration problems across structured and unstructured sources.
• Keep our data clean, reliable, and well-documented for the people and products that depend on it.
• Work closely with the software engineers, building our AI products and follow engineering best practices.

Who You Are

• An early-career analytics or data engineer who builds clean, reliable pipelines and datasets.
• Strong SQL and Python for data work.
• Experience building data pipelines and integrating structured and unstructured data.
• Comfortable with cloud data infrastructure.
• Use AI coding agents effectively in your day-to-day work, with the judgment to know when to use...