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Full Stack Data Engineer

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: Aspire
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Engineering, AWS, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below

We are looking for a skilled andversatile Full Stack Data Engineer to join our cross-functional data team. Youwill work across the full data lifecycle — from ingestion and transformation tosurfacing insights via web applications — while contributing to acollaborative, 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 every4
  • Participate in a backup on-call rotation: 1 backup week in every4
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 touser-facing interface
  • Reliable and responsive during on-call weeks, with good incidentcommunication habits
  • A continuous learner who stays current with the modern datastack
Requirements REQUIRED SKILLS & EXPERIENCE
  • Solid experience with ELT processes and modern data pipelinedesign
  • 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 Type Script
  • API design and implementation with GraphQL
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 Git Hub
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