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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Engineering - **Company:** Mastercard - **Location:** Arlington, VA, United States - **Salary:** $161,000.0 - $266,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Agile Methodology, Big Data, Code Review, Cyber Security, Databases, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Relational Databases, Database Design, Microsoft SQL Server, Performance Tuning, Scrum Methodology, Productivity Software, Query Optimization, SQL Databases, Sql Optimization, GitHub Copilot, Apache Spark, Information Technology, Data Management, Data Delivery, Software Version Control, Data Pipelines, Databricks - **Published:** August 9, 2026 - **Apply:** https://www.wayup.com/i-j-Manager-Data-Engineering-Mastercard-676023889751341/ ## About the Role * Proven experience in Data Engineering or a related field, with strong expertise in data architecture, data modeling, database design, and scalable data solutions. * Prior people management experience is preferred. Candidates with strong leadership experience in a team lead or senior individual contributor capacity may also be considered. * Strong track record of delivering complex initiatives while balancing competing priorities and stakeholder needs. * Advanced SQL skills, including performance tuning, query optimization, and large-scale data processing. * Deep hands-on experience with Microsoft SQL Server and relational database technologies. * Experience designing, implementing, and maintaining ETL pipelines and data integration frameworks. * Experience with Databricks, Spark, or modern cloud-based data platforms is a plus. * Interest in emerging engineering productivity tools and AI-assisted development technologies (e.g., GitHub Copilot), with a willingness to explore and adopt new capabilities. * Strong analytical and problem-solving skills, with the ability to think strategically and drive innovation. * Experience managing projects, people, and delivery processes while ensuring quality, accuracy, and operational excellence. * Exceptional communication and stakeholder management skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. * Bachelor's degree in Engineering, Computer Science, Mathematics, Finance, Business, or a related quantitative discipline; equivalent practical experience will also be considered. This role is not eligible for Mastercard's work authorization sponsorship. Candidates must be authorized to work in the United States now and in the future without employer sponsorship. ## Description Mastercard Services Technology is seeking a Manager, Data Engineering to lead the delivery of data solutions that power client engagements across Test & Learn and other Services products. In this role, you will manage a team of Data Engineers responsible for designing, building, and maintaining scalable data pipelines and enterprise data solutions that enable impactful business insights for clients worldwide. The Test & Learn team aims to build industry-leading business experimentation software that brings sophisticated analytic techniques to business users around the world. We are rapidly expanding our product offerings and innovating on how we deliver Test & Learn solutions to our clients. This is a hybrid role based in Arlington, VA, with an expectation of three days per week onsite. Role: * Lead, mentor, and develop a team of 4-10 Data Engineers, fostering accountability, collaboration, innovation, and continuous learning. * Drive end-to-end delivery of high-quality, scalable data solutions across multiple clients, industries, and concurrent projects. * Own the design, development, automation, and maintenance of large-scale enterprise ETL and data integration pipelines supporting a global client base. * Lead Agile team operations including goal setting, sprint planning, capacity management, work allocation, and retrospectives. * Provide ongoing coaching, performance management, and career development support to team members. * Serve as a technical leader and subject matter expert in data architecture, engineering standards, and solution design. * Partner with analytics teams, product managers, and business stakeholders to translate requirements into scalable data solutions. * Leverage SQL and modern database technologies to optimize performance, streamline processing, and manage large-scale datasets efficiently. * Define and enforce engineering best practices including version control, code reviews, testing frameworks, monitoring, and data quality controls. * Identify and drive automation and process improvement initiatives that enhance efficiency, scalability, and reliability of data delivery. * Build and maintain strong relationships with internal and external stakeholders across global teams and client organizations. * Ensure compliance with Mastercard policies, security standards, and applicable regulatory and regulatory requirements. All About You, 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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [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) - [From A2A to MCP: How AI’s “Brains” are Connecting to “Arms and Legs”](https://www.wearedevelopers.com/videos/1631-from-a2a-to-mcp-how-ai-s-brains-are-connecting-to-arms-and-legs) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)