Data Engineering Intern

Mastercard

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Quick summary

Work type
On-site
Location
O Fallon, MO
Employment
Intern
Posted
5 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $153k
$92k most similar roles pay here $213k

This listing doesn't post a salary. Most similar roles pay $104,000–$201,398.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 116 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 104 roles with salary data.

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At a glance

TL;DR · Data Engineering Intern

The Data Engineering Intern, Summer 2027 – St. Louis, MO, US joins the Program Controls & Operations Data Engineering team to help transform fragmented data into actionable intelligence. This role focuses on modernizing the reporting ecosystem and migrating legacy business systems into a more advanced infrastructure. The intern will work on projects involving automation and the creation of enterprise-scale operational insights. Key responsibilities include developing interactive dashboards, creating data visualizations, and translating complex data into business insights. To succeed in this role, candidates must possess proficiency in Python for data analysis and automation, SQL for querying and transforming large datasets, and experience with DAX. Additionally, the role requires hands-on experience with Microsoft Fabric and data agents within a modern analytics environment to solve technical challenges related to data integration and reporting.

What you'll do

  • Transform fragmented data into actionable intelligence to provide enterprise-scale operational insights.
  • Develop interactive dashboards and data visualizations using PowerBI.
  • Utilize Microsoft Fabric and data agents within a modern analytics environment.
  • Use Python for data analysis, automation, and solution development.
  • Query, transform, and analyze large datasets using SQL.
  • Translate complex data into actionable business insights using DAX.
  • Support the strategic migration from legacy business systems to a modernized reporting ecosystem.

What we're looking for

  • Must be currently enrolled in a Bachelor's degree with an expected graduation date between December 2027 and June 2028.
  • Experience developing interactive dashboards and data visualizations using PowerBI.
  • Hands-on experience with Microsoft Fabric and data agents in a modern analytics environment.
  • Strong proficiency in Python for data analysis, automation, and solution development.
  • Working knowledge of SQL for querying, transforming, and analyzing large datasets.
  • Experience with DAX and the ability to translate complex data into actionable business insights.
  • Must be eligible to work in the United States without current or future employer sponsorship.
  • Work authorization sponsorship.

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