Full Stack Data Engineer

Job Description 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 Requirements 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