Senior Data Engineer
Mastercard
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 66% of similar roles. Most pay $137,350–$199,700 — the shaded band above. At the midpoint, this role pays about $150k versus about $169k for comparable roles.
Based on 240 similar postings.
Employer
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 131 open roles on FindRole.
Listed pay typically runs $115,000–$184,000 across 118 roles with salary data.
Most-posted roles
At a glance
Senior Data Engineer joins the Data Collection & Engineering organization to design, build, and scale next-generation data platforms and analytical ecosystems. This role involves developing high-performance, cloud-enabled data pipelines for enterprise warehouse and Lakehouse environments to support advanced analytics and regulatory reporting. The engineer will develop batch and near-real-time processing frameworks for petabyte-scale workloads while migrating legacy ETL and analytics workloads to cloud-native architectures. Key responsibilities include implementing data lineage, metadata management, and quality monitoring while mentoring other engineers through code reviews. The role requires proficiency in Apache Spark, Java, Scala, Hadoop, and SQL, alongside experience with Amazon S3, EMR, AWS Glue, and tools like Apache Airflow or NiFi. This position addresses complex technical challenges within global payment processing platforms to ensure secure, resilient data flows for financial transactions.
What does a Data Engineer earn?
Median $162000 from 191 postings across 57 companies.
Skills
What you'll do
What we're looking for
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