AI Enablement Analytics Engineer: Data Pipelines & LLM Prep

Symetra; United States; Hybrid; USD 96,700 - 161,200; Full time

Benefits offered by this job

Flexible full‑time or hybrid telecommu

401(k) plan with immediate vesting and

Paid time away including vacation and

Company matching of charitable giving

Benefits Overview

Job summary

Symetra's AI Enablement team is accelerating AI adoption by building shared platforms, tooling, and patterns for AI workflows. As an Analytics Engineer, you will help build the data platform powering our AI products, creating pipelines and storage for documents and other unstructured data used by our AI applications.

You will collaborate with engineers, build reliable data pipelines, and ensure data quality and documentation.

Qualifications

• An early-career analytics or data engineer who builds clean, reliable pipelines and datasets.
• Strong SQL and Python skills for data work.
• Experience building data pipelines and integrating structured and unstructured data.

Responsibilities

• 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 software engineers, building our AI products and following engineering best practices.

Skills

SQL

Python

Data pipelines

Unstructured data

Cloud data infra

Tools

Dagster

Airflow

Prefect

Job description

Symetra's AI Enablement team is accelerating AI adoption by building shared platforms, tooling, and patterns for AI workflows. As an Analytics Engineer, you will help build the data platform powering our AI products, creating pipelines and storage for documents and other unstructured data used by our AI applications.

You will collaborate with engineers, build reliable data pipelines, and ensure data quality and documentation.