# Senior Data Engineer **Company**: Mastercard **Location**: O'Fallon, Missouri **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $115,000 - $184,000 USD **Category**: Engineering **Industry**: Finance **Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/OFallon-Missouri/Senior-Data-Engineer_R-291931?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_c4a180cd-9ed ## Description Mastercard's Data Collection & Engineering (DC&E) organization is seeking a Senior Data Engineer to play a critical role in designing, building, and scaling Mastercard's next-generation data platforms and analytical ecosystems. In this role, you will develop high-performance, cloud-enabled data pipelines that power Mastercard's enterprise data warehouse and Lakehouse environments. Your work will enable advanced analytics, business intelligence, regulatory reporting, and data-driven decision making across the organization. Responsibilities: - Design, develop, test, and deploy secure, scalable, high-performance, and resilient data pipelines using Apache Spark, Java/Scala, Hadoop, and cloud-native object storage platforms. - Build and maintain batch and near-real-time data processing frameworks capable of supporting petabyte-scale workloads and demanding enterprise data requirements. - Develop reusable engineering components, frameworks, and design patterns that accelerate data product delivery while maintaining enterprise architecture and engineering standards. - Design and implement "build once, run anywhere" architectures that enable seamless deployment across on-premises and public cloud environments without requiring code changes. - Implement enterprise data capabilities including data lineage, metadata management, data cataloging, data quality, monitoring, and observability across the data ecosystem. - Collaborate with architects and platform teams to establish scalable architecture patterns, distributed computing practices, and engineering standards, while driving adoption of modern Lakehouse architectures. - Contribute to cloud modernization initiatives by migrating legacy ETL, data warehouse, and analytics workloads from on-premises environments to cloud-native architectures using services such as Amazon S3, EMR, and AWS Glue. - Lead end-to-end engineering activities, including requirements analysis, solution design, coding, testing, deployment, production support, and continuous optimization. - Partner with product owners, analysts, architects, and business stakeholders to translate requirements into high-quality, scalable solutions and deliver committed outcomes within established timelines. - Troubleshoot complex production incidents, perform root cause analysis, and implement sustainable remediation strategies while ensuring compliance with Mastercard's security, quality, and operational governance standards. - Mentor and guide engineers through code reviews, technical coaching, knowledge sharing, and best practices, while identifying opportunities to improve performance, automation, monitoring, and engineering efficiency. Requirements: - Hands-on experience as a Data Engineer or Senior Data Engineer delivering enterprise-scale Data Warehouse, Data Lake, or Data Lakehouse solutions. - Proven experience delivering multiple end-to-end data engineering initiatives within large-scale distributed computing environments. - Hands-on experience migrating ETL/ELT, data warehouse, and analytics workloads from on-premises platforms to cloud-native architectures. - Strong development experience with Apache Spark, Scala and/or Java, Hadoop ecosystem technologies, and cloud object storage platforms. - Experience building orchestration and workflow solutions using Apache Airflow, Apache NiFi, or comparable enterprise scheduling and workflow frameworks. - Strong SQL expertise and experience working with relational and NoSQL databases, such as Oracle, SQL Server, Cassandra, and DynamoDB. - Working knowledge of cloud platforms, preferably AWS, including Amazon S3, EMR, AWS Glue, and other cloud-native data services. - Strong understanding of security, privacy, regulatory, and compliance requirements associated with sensitive financial and customer data. - Proven ability to lead complex technical initiatives across multiple teams and influence engineering direction without direct authority. - Demonstrated ability to mentor engineers and elevate technical capability, including providing design guidance, knowledge sharing, and constructive feedback. - Excellent communication and stakeholder management skills, with the ability to clearly articulate technical concepts, trade-offs, risks, dependencies, and recommendations to both technical and business audiences. - Bachelor's degree in Computer Science, Engineering, Information Systems, or a related STEM discipline. Benefits: - 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 - 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 ## Skills ### Required - Apache Spark - Java/Scala - Hadoop - cloud-native object storage platforms - Apache Airflow - Apache NiFi - SQL - relational databases - NoSQL databases - AWS - cloud platforms --- Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/OFallon-Missouri/Senior-Data-Engineer_R-291931?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)