Lead Analytics Engineer, AI Data Platform

Symetra; United States; Hybrid; USD 128,700 - 214,600; Full time

Benefits offered by this job

Flexible full-time or hybrid telecommu

401(k) with immediate vesting and up 6

Paid time away: vacation, sick, flex,

Company matching philanthropic

Job summary

Symetra is seeking a Lead Analytics Engineer to design and build the data platform and pipelines that power our AI products. You will determine how data is stored and served, choosing between OLTP databases, object storage, or a Snowflake data warehouse, and you will solve complex data integration challenges across diverse sources.

You will mentor engineers, collaborate with software teams, and help shape the data infrastructure that enables AI-driven applications and workflows at scale.

Qualifications

• An expert data or analytics engineer (typically 8+ years) who has designed and built data platforms.
• Strong data engineering with SQL and Python: pipelines, data modeling, and integrating structured and unstructured data.
• Experience evaluating, choosing, and standing up data infrastructure.
• Advanced problem-solving and communication; excited to work with other engineering teams and business stakeholders who are your internal customers.
• Use AI coding agents effectively in your day-to-day work, with the judgment to know when to use them and when not to.

Responsibilities

• Design and build the data platform and pipelines that feed our AI products.
• Determine how to store and serve the data our AI applications need, using an OLTP database, object storage, or our Snowflake data warehouse.
• Solve data integration problems across our many structured and unstructured sources.
• Partner with the software engineers building our AI products so the data platform fits what they need.
• Mentor other engineers and act as the technical lead for the data platform.

Skills

SQL

Python

Data pipelines

Data modeling

Unstructured data

AI tooling

Tools

Snowflake

Dagster

Airflow

Job description

Symetra is seeking a Lead Analytics Engineer to design and build the data platform and pipelines that power our AI products. You will determine how data is stored and served, choosing between OLTP databases, object storage, or a Snowflake data warehouse, and you will solve complex data integration challenges across diverse sources.

You will mentor engineers, collaborate with software teams, and help shape the data infrastructure that enables AI-driven applications and workflows at scale.