Senior Data Engineer, Cloud Data Platforms

Mastercard; Lusk (WY); On-site; USD 120,000 - 170,000; Full time

Job summary

Mastercard is seeking a Senior Data Engineer to design, build, and operate cloud-native data products and platform capabilities. You will develop scalable batch and streaming pipelines on Databricks, Snowflake, Iceberg, and cloud platforms, and contribute to data governance, security, and observability.

Collaborate with product, architecture, and business teams to deliver enterprise data solutions, while advancing automation, CI/CD, and Infrastructure as Code across the platform.

Qualifications

• Bachelor's degree in a related technical field.
• Hands-on experience with Databricks, Snowflake, Apache Iceberg, Delta Lake, and AWS and/or Azure.
• Strong proficiency in Python, SQL, Spark/PySpark, and data engineering best practices.
• Experience building batch and real-time data processing pipelines.
• Experience with orchestration and workflow automation tools (e.g., Airflow).
• Experience with CI/CD, Git, automated testing, Infrastructure as Code, and production support.
• Understanding of data governance, security controls, data quality, metadata, and lineage.
• Strong analytical, problem-solving, communication, and collaboration skills.

Responsibilities

• Design, develop, and support cloud-native data products and platform capabilities.
• Build and operate scalable batch and streaming data pipelines.
• Develop reusable frameworks, accelerators, and platform services on Databricks, Snowflake, Iceberg, and cloud platforms.
• Implement data governance, security, observability, and operational controls.
• Support platform modernization, automation, and engineering excellence through CI/CD and Infrastructure as Code.
• Collaborate with product, architecture, platform governance, and business teams to deliver enterprise data solutions.
• Participate in production support, operational readiness, and continuous improvement activities.

Skills

Python

SQL

Spark/PySpark

Analytical thinking

Problem solving

Communication

Collaboration

Data governance

Data quality

Metadata & lineage

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field

Tools

Databricks

Snowflake

Apache Iceberg

Delta Lake

AWS

Azure

Airflow

Git

CI/CD

Terraform

Job description

Mastercard is seeking a Senior Data Engineer to design, build, and operate cloud-native data products and platform capabilities. You will develop scalable batch and streaming pipelines on Databricks, Snowflake, Iceberg, and cloud platforms, and contribute to data governance, security, and observability.

Collaborate with product, architecture, and business teams to deliver enterprise data solutions, while advancing automation, CI/CD, and Infrastructure as Code across the platform.