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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Service Management Engineer - **Company:** Mastercard - **Location:** O'Fallon, MO, United States - **Experience:** Expert - **Salary:** $122,000.0 - $207,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cloudera Impala, Code Review, Cyber Security, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Apache Hadoop, Apache Hive, Information Lifecycle Management, Python (Programming Language), Machine Learning, Data Streaming, Delivery Pipeline, Apache Spark, Low Latency, Data Analytics, Data Pipelines - **Published:** July 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=df371953d8a60e6f ## About the Role 8-12+ years in data engineering or backend engineering, including senior/lead roles. Experience designing end-to-end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production.* Big Data & Cloud Expertise: Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands-on work with AWS, Azure, or GCP using cloud-native processing and storage services (e.g., S3, Glue, EMR, Data Factory). Ability to design scalable, cost-efficient workloads for experimental and variable R&D environments.* AI/ML Data Lifecycle Knowledge: Understanding of data needs for machine learning-dataset preparation, feature/label management, and supporting real-time or batch training pipelines. Experience with feature stores or streaming data is useful.* Leadership & Mentorship: Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution.* Problem-Solving Mindset: Approach issues systematically, using analysis and data to select scalable, maintainable solutions.Required Skills* ## Description We are seeking a Lead Data Engineer to join Mastercard Architecture & Analytics team. You will help shape our innovation roadmap by exploring new technologies and building scalable, data-driven prototypes and products. The ideal candidate is hands-on, curious, adaptable, and motivated to experiment and learn.What You'll Do* Drive Data Architecture: Own the data architecture and modeling strategy for AI projects. Define how data is stored, organized, and accessed. Select technologies, design schemas/formats, and ensure systems support scalable AI and analytics workloads.* Build Scalable Data Pipelines: Lead development of robust ETL/ELT workflows and data models. Build pipelines that move large datasets with high reliability and low latency to support training and inference for AI and generative AI systems.* Ensure Data Quality & Governance: Oversee data governance and compliance with internal standards and regulations. Implement data anonymization, quality checks, lineage, and controls for handling sensitive information.* Provide Technical Leadership: Offer hands-on leadership across data engineering projects. Conduct code reviews, enforce best practices, and promote clean, well-tested code. Introduce improvements in development processes and tooling.* Cross-Functional Collaboration: Work closely with engineers, scientists, and product stakeholders. Scope work, manage data deliverables in agile sprints, and ensure timely delivery of data components aligned with project milestones.What You'll Bring* Extensive Data Engineering, All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard's security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)