Learn to organize and optimize Ibotta’s vast data environment for high-level analysis
Partner with Decision Scientists to aggregate and normalize datasets
Work alongside Engineering, Data Engineering, and Decision Science teams
Assist in identifying, documenting, and testing events-based data
Develop datasets with data quality principles in mind
Assist in deploying and maintaining data sets using DataBricks
Help build automation tools and UI components that make data accessible

Requirements

0-2 years of practical experience in data engineering, analytics, or a related technical internship/co-op
Bachelor’s degree in Computer Science, Engineering, Analytics, or a related field
Foundational proficiency in Python and SQL for data wrangling
Understanding of ETL/ELT concepts and how data moves through a pipeline
Familiarity with or interest in learning
Ability to think creatively and provide insights to solve business questions using data
A strong attention to detail and an interest in applying data quality principles to every task
Ability to collaborate with Subject Matter Experts (SMEs) to understand the business context behind the numbers

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLETLELTdata wranglingdata quality principlesdata analysisdata normalizationdata aggregationdata testing

Soft Skills

creativityattention to detailcollaborationproblem-solvingcommunication

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Analytics