Data Acquisition & Quality Specialist Intern

Smarty • Orem, UT

1d • Onsite

About The Position

This paid internship for students extends from January 2027 to the end of Summer Term (mid-August 2027). We are looking for a minimum of 15+ hours/week during Winter/Spring Terms, with the opportunity to work additional hours during the Summer term. This role is onsite, non-remote, in our Orem office. You'll join Data Foundations — the team that owns Smarty's data as an asset, from raw source to a trusted product. We're actively standing this function up across four disciplines, with real room to grow: Data Sourcing — vendor management, licensing, source discovery and qualification; Data Quality — profiling, validation, measurement, monitoring; Data Governance — cataloging, usage rights, standards, policy and enablement; Data Engineering — QA pipelines, AI-powered automation, scalable processes.

Requirements

• Working towards a Bachelor's degree in Data Analytics, Statistics, Data Science, Computer Science, or a related analytical field
• Knowledge and hands on experience working with data
• Excellent organizational skills
• Experience with SQL, and a knack for turning large, messy datasets into clean, structured formats
• Problem solving attitude willing to take on new challenges

Responsibilities

• Research, identify, evaluate, and onboard data sources to meet organizational objectives
• Profile, validate, and QA data for quality, completeness, and consistency — then enrich and certify it for product, so what we ship is trusted, not just collected
• Evaluate, onboard, and maintain data vendors — vet new providers, track license terms and obligations, and keep our source relationships in good standing
• Build, optimize, and maintain data pipelines to process and structure location and enrichment data for internal use, and automate tasks through appropriate tools and scripting
• Collaborate with product managers to define data requirements for new features, and work with engineering teams to deliver data that meets functional requirements
• Participate in company cultural training initiatives, including Arbinger methodologies, and apply learned principles in your work and interactions with others
• Work hard, master your craft, and enjoy the journey — boldly going where no SaaS company has gone before

What This Job Offers

• Job Type: Part-time
• Career Level: Intern