Senior Software Engineer

Mastercard • O'fallon, MO

10d

About The Position

Have you ever wanted to be part of something BIG? Now is the time to make an immediate impact at a leading global technology company, Mastercard. Mastercard is seeking a Backend Software Engineer to join the AI&DPE Data Engineering platform team, responsible for building and evolving large scale backend data systems, real time and batch pipelines, and AI enabled services that power analytics, decisioning, and automation across the organization. This is a Software Engineer backend engineering role, focused on Scala/Python/Java, distributed data platforms (Cloudera/Spark), and cloud based architectures, with a strong emphasis on AI agent creation and intelligent automation. Visualization tools (e.g., Qlik) are consumers of the platform, not the core focus of this role. You will work with massive transactional datasets, modern big data and cloud platforms, and AI driven workflows to transform how Mastercard processes, enriches, and operationalizes data at global scale.

Requirements

• BS/BA degree in Computer Science, Engineering, Information Systems, or related field
• Strong hand son experience with Scala,Python/Java in backend or data intensive systems
• Experience working with Cloudera Data Platform (CDP) and Spark
• Familiarity with Cloudera Manager for cluster administration, monitoring, or troubleshooting
• Strong understanding of data modeling concepts, distributed systems, and large scale data processing
• Excellent problem solving skills and ability to work independently in complex environments

Nice To Haves

• Hands on experience building, integrating, or supporting AI driven agents or intelligent automation solutions
• Experience with Databricks for data engineering or ML workloads
• Experience working in AWS (e.g., S3, EC2, EMR, Glue, Lambda, IAM, or equivalent services)
• Knowledge of streaming and big‑data technologies: Kafka Hadoop ecosystem Hive/Impala
• Exposure to model monitoring, or AI platform enablement
• Experience with ETL tools such as Informatica
• Experience working in Agile / Scrum teams within large enterprises

Responsibilities

• Software Engineer Backend with Data Platform Engineering Design, develop, and maintain backend services and data pipelines using Scala, Python and Java
• Build and optimize batch and streaming workloads on Cloudera Data Platform (CDP) using Spark
• Work with Cloudera Manager to support platform configuration, monitoring, performance tuning, and operational stability
• Design and implement high quality datamarts and curated datasets with strong emphasis on data integrity, performance, and reliability
• AI Agents & Intelligent Automation Design, build, and integrate AI powered agents that operate to support: Anomaly detection and operational intelligence workflow automation
• Apply generative AI driven, or rule based agents to reduce manual effort and improve scalability across backend systems
• Cloud & Modern Data Architecture Build and support data and compute workloads in AWS environments
• Leverage Databricks for large scale data processing, advanced analytics
• Contribute to cloud native and hybrid architectures integrating on prem and cloud platforms
• Integration & Downstream Enablement Enable downstream consumers (analytics, visualization, reporting tools such as Qlik) through well designed, reliable backend data interfaces
• Partner with analytics, fraud, and business teams to ensure backend systems meet evolving needs without compromising platform stability
• Documentation & Collaboration Create clear technical documentation, including architecture diagrams, data flows, and design specifications
• Participate in Agile/Scrum ceremonies and cross functional design reviews
• Mentor and upskill team members in backend engineering, big data, and AI agent concepts

Benefits

• Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.
• Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level