Senior AI Data Engineer: Scalable Enterprise Data Platforms

Mastercard; Helena (MT); On-site; USD 140,000 - 190,000; Full time

Job summary

Mastercard is seeking a Senior AI Data Engineer to lead the design and optimization of enterprise data platforms for scalable AI and Generative AI solutions. You will build production-grade data infrastructure supporting ingestion, feature engineering, model training, inference, and continuous improvement.

You will collaborate with AI engineers, data scientists, and solution architects to deliver secure, high-performance data solutions while upholding governance, security, and operational

Qualifications

• Design and implement enterprise-scale data engineering solutions for AI workloads.
• Experience with cloud-native data platforms (AWS/Azure/GCP).
• Hands-on with data lakes, Lakehouse architectures, and data warehouses.

Responsibilities

• Design, build, and maintain scalable cloud-native data platforms for AI.
• Develop batch and real-time data pipelines for model training and inference.
• Ensure data quality, governance, security, and observability across pipelines.
• Collaborate with AI engineers and data scientists on production datasets and deployment.

Skills

Python

SQL

Spark

Cloud platforms

Airflow

Kafka/Kinesis

Data governance

MLOps

LLMs / Generative AI

Feature stores

Education

Bachelor's or Master's in CS/Data Eng/Information Systems

Tools

Kafka

Kinesis

Azure Data Factory

Airflow

Spark

Lakehouse/Data Lake

Data Warehouses

Job description

Mastercard is seeking a Senior AI Data Engineer to lead the design and optimization of enterprise data platforms for scalable AI and Generative AI solutions. You will build production-grade data infrastructure supporting ingestion, feature engineering, model training, inference, and continuous improvement.

You will collaborate with AI engineers, data scientists, and solution architects to deliver secure, high-performance data solutions while upholding governance, security, and operational