This role pays less than
87%
of similar roles. Most pay
$136,000–$190,625
— the shaded band above.
At the midpoint, this role pays about
$120k
versus about
$163k
for comparable roles.
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
118 open roles
on FindRole.
Listed pay typically runs
$122,000–$207,000
across 106 roles with salary data.
The Data Engineer II joins the Enterprise Credit Risk team to design, build, and maintain data platforms and products supporting credit decisioning, risk analytics, regulatory reporting, and machine learning initiatives. You will work with large, complex datasets to develop scalable pipelines, transformations, and curated data products while collaborating with engineers, data scientists, and product partners to translate business needs into technical solutions. Day-to-day responsibilities include building and optimizing ETL/ELT workflows, implementing data validation and quality controls, troubleshooting production issues, and contributing to cloud migration and platform modernization efforts. The role requires proficiency in SQL, Python, Databricks, and Spark, along with experience in relational databases like Postgres. You will navigate the technical challenges of credit risk management by ensuring data accuracy and reliability across various reporting and analytics use cases within a modern data engineering environment.
What does a Data Engineer earn?
Median $178950 from 228 postings across 59 companies.
Java
Spring Framework
Python
Go
Site Reliability Engineering
DevOps
CI/CD
Distributed Systems
Automation
Configuration Management
Observability
Root Cause Analysis
ITSM
Capacity Planning
Monitoring