Full Stack Data Engineer

We are looking for a skilled and versatile Full Stack Data Engineer to join our cross-functional data team. You will work across the full data lifecycle — from ingestion and transformation to surfacing insights via web applications — while contributing to a collaborative, on-call rotation with a team primarily based in Mountain Time (Salt Lake City, UT).

WORKING HOURS & ON-CALL

• Must be available until at least 12:00 PM Mountain Time (MT) daily to ensure team overlap

• Participate in a weekly on-call rotation: 1 active week in every 4

• Participate in a backup on-call rotation: 1 backup week in every 4

WHAT WE’RE LOOKING FOR

• A collaborative engineer comfortable working in a distributed, async-first team

• Someone who can own work end-to-end — from raw data to user-facing interface

• Reliable and responsive during on-call weeks, with good incident communication habits

• A continuous learner who stays current with the modern data stack

REQUIRED SKILLS & EXPERIENCE

Data Engineering

• Solid experience with ELT processes and modern data pipeline design

• Proficiency in dbt (data build tool) for data transformation and modeling

• Strong SQL skills across analytical and operational workloads

• Infrastructure as Code experience using Terraform

Web Application Development

• Backend development using Node.js and TypeScript

• API design and implementation with GraphQL

• Frontend development using React

PREFERRED QUALIFICATIONS

• Experience with Snowflake as a cloud data warehouse

• Hands-on experience with AWS cloud services

• Familiarity with Apache Airflow for workflow orchestration

• Experience with Looker for data visualization and BI

• Python scripting for data tasks and automation

• Version control and collaboration using GitHub