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$104,000–$185,141.
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
155 open roles
on FindRole.
Listed pay typically runs
$122,000–$207,000
across 136 roles with salary data.
The Data Engineering Intern, Summer 2027 joins a team dedicated to advancing data science capabilities across Commerce Media and Offers. In this role, you will help translate data, analytics, and AI into scalable products and measurable business impact. Your daily work involves developing audience, targeting, and measurement solutions while driving optimization and personalization through rigorous experimentation and modeling. You will build data pipelines and workloads using cloud-based platforms such as AWS, Azure, or Databricks. The team requires proficiency in Python and familiarity with data engineering concepts. Candidates should have exposure to distributed data processing frameworks, specifically PySpark, and an understanding of AI/ML workflows. This position focuses on identifying new data assets and modeling opportunities to improve offer relevance and incrementality.
Build and maintain scalable data pipelines using cloud-based platforms like AWS, Azure, or Databricks.
Develop audience, targeting, and measurement solutions for the Commerce Media business unit.
Drive optimization and personalization for the Offers business through rigorous experimentation and modeling.
Translate data, analytics, and AI into scalable products that deliver measurable business impact.
Identify new data assets and modeling opportunities to support long-term product strategy.
Execute data engineering workloads using distributed data processing frameworks like PySpark.
Support AI/ML workflows and model deployment processes to improve offer relevance.
Ensure the confidentiality and integrity of all information accessed during the internship.
What we're looking for
Must be currently enrolled in a Bachelor's or accelerated Master's degree with an anticipated graduation date between December 2027 and June 2028.
Must have previous internship experience in software development, data engineering, or a related technical field.
Must have experience with Python through coursework, projects, internships, or personal initiatives.
Must have familiarity with data engineering concepts and building data pipelines or workloads using cloud-based platforms like AWS, Azure, or Databricks.
Exposure to distributed data processing frameworks, with experience using PySpark is considered a plus (preferred).
Understanding of AI/ML workflows, data pipelines, or model deployment processes is a plus (preferred).
Must possess strong analytical, problem-solving, and collaboration skills with the ability to learn new technologies quickly.
Python
SQL
PL/SQL
Snowflake
GitHub
ETL
ELT
AWS
Azure
Google Cloud
Data Pipelines
Machine Learning
Generative AI
Tableau
Agile
Data Modeling
NLP
Data Quality