This role pays less than
70%
of similar roles. Most pay
$140,262–$211,200
— the shaded band above.
At the midpoint, this role pays about
$150k
versus about
$176k
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
116 open roles
on FindRole.
Listed pay typically runs
$122,000–$207,000
across 104 roles with salary data.
The Senior Data Engineer joins the Enterprise Data Quality team to build and scale a next-generation data quality platform. This role focuses on designing and developing high-performance data pipelines, data quality frameworks, and cloud-native solutions to improve the trust and reliability of enterprise data assets. The successful candidate will develop automated remediation capabilities, monitoring systems, and advanced analytics for anomaly detection and root cause analysis. Key technical requirements include proficiency in Spark, Scala, Python, Java, Databricks, Hadoop, and AWS services. Additionally, the role requires expertise in SQL, Oracle, PostgreSQL, Iceberg, Ozone, and Nifi to manage large-scale distributed data processing. The position involves solving complex data challenges by implementing validation controls and leveraging AI/ML techniques, including predictive analytics and generative AI tools, to enhance operational efficiency within a sophisticated enterprise data environment.
What does a Data Engineer earn?
Median $183138 from 214 postings across 58 companies.
Azure
Python
SQL
Spark
Databricks
Azure Data Factory
Data Lake
Synapse Analytics
Azure Functions
ETL
Hadoop
NoSQL
Big Data
Data Modeling
Data Warehousing
DevOps
Real-Time Processing