Senior Data Engineer – Real-Time Data & AI Platforms

Mastercard; Helena (MT); On-site; USD 130,000 - 180,000; Full time

Job summary

Mastercard is hiring a Senior Data Engineer for the AI Network Services team to build unified data views from multiple sources. The role focuses on data ingestion, processing, and enabling data-driven cyber, fraud and security insights for Mastercard’s global customers and partners.

You will partner with Product, Data Science and Platform teams to deliver scalable data solutions, leverage Cloudera/DataBricks/AWS ecosystems, and drive impact across high-volume datasets and complex analytics.

Qualifications

• Proficient in Python data tooling (Pandas, NumPy, PySpark).
• Strong SQL and data mining/BI background.
• Experience with Hadoop and Databricks cloud platform.

Responsibilities

• Ingest, aggregate and process large data sets to derive insights.
• Collaborate with Product, Data Science and Platform teams to deliver data solutions.
• Analyze and model data to support real-time and batch analytics.

Skills

Python

SQL

Pandas/Numpy/PySpark

Databricks

Hadoop

Data Modeling

Tools

Apache NiFi

Azure Data Factory

Pentaho

Talend

Graph DB

Job description

Mastercard is hiring a Senior Data Engineer for the AI Network Services team to build unified data views from multiple sources. The role focuses on data ingestion, processing, and enabling data-driven cyber, fraud and security insights for Mastercard’s global customers and partners.

You will partner with Product, Data Science and Platform teams to deliver scalable data solutions, leverage Cloudera/DataBricks/AWS ecosystems, and drive impact across high-volume datasets and complex analytics.