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Full Stack Data Engineer

Role overview

Qualifications

  • 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

Responsibilities

  • Work across the full data lifecycle — from ingestion and transformation to surfacing insights via web applications
  • Participate in a weekly on-call rotation: 1 active week in every 4
  • Own work end-to-end — from raw data to user-facing interface
  • Provide reliable and responsive support during on-call weeks, with good incident communication habits

About the company

Aspire IT Services logo

Aspire IT Services

IT Services & IT Consulting

Company details

IndustryIT Services & IT Consulting

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Job description

This is a remote position.

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



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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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