Data Engineer I, Launch Program

Mastercard

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Quick summary

Work type: On-site
Location: Arlington, VA
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $161k

$117k most similar roles pay here $203k

This listing doesn't post a salary. Most similar roles pay $126,800–$194,300.

Based on 240 similar postings.

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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 123 open roles on FindRole.

Listed pay typically runs $115,000–$187,000 across 109 roles with salary data.

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At a glance

TL;DR · Data Engineer I, Launch Program

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Data Engineer I, Launch Program 2027 – Arlington, VA, US is a role within the B&MI Data Foundations engineering pillar. This team builds and operates shared data services, platforms, and tooling to support analytics and AI across the business. The successful candidate will work on data ingestion, processing, reusable datasets, data quality, and consistent access while focusing on automation, reliability, and reuse of infrastructure for product and research teams. To succeed in this role, candidates must possess foundational knowledge of databases, data warehousing, and data analytics. Required technical skills include basic proficiency in Python and SQL for data analysis and problem-solving, along with familiarity with machine learning concepts and techniques. The work involves solving complex problems related to large datasets and providing reliable infrastructure so that various teams do not have to maintain their own independent systems.

What does a Data Engineer earn in Virginia?

Median $155450 from 57 postings across 7 companies.

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Skills

Python SQL Data Engineering Data Warehousing Machine Learning Data Analytics Data Processing Automation

What you'll do

Build and operate shared data services, platforms, and tooling to support analytics and AI.
Manage data ingestion and processing workflows for the B&MI organization.
Develop reusable datasets and ensure consistent data quality across various teams.
Create environments for research and customer data workflows.
Automate and maintain infrastructure to ensure reliability and reuse of data capabilities.
Use Python and SQL to perform data analysis, processing, and problem-solving.
Implement machine learning concepts and techniques within the data engineering pipeline.

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 2026 and June 2027.
Foundational knowledge of databases, data warehousing, data analytics, or related data technologies is required.
Previous internship experience in Data Science, Data Engineering, or a related field is required.
Basic proficiency in Python and SQL for data analysis, data processing, or problem-solving is required.
Familiarity with machine learning concepts, techniques, and common applications is required.
Strong analytical and problem-solving skills with an interest in working with large datasets are required.
Ability to learn new technologies quickly and collaborate effectively in a team environment is required.
Work authorization.

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