Lead Data Engineer

Mastercard
O'Fallon, MissouriPosted 22 March 2026

Job Description

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Engineer Overview Mastercard is the global technology company behind the worlds fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of PricelessÆ. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. As a Test Lead Engineer in Data collection & Engineering (DC&E), you will have the opportunity to test high performance data pipelines which load into Mastercard Data Warehouse. Our Data Warehouse provides analytical capabilities to number of business users who help different customer provide answer to business problems through data. You will play a vital role within a rapidly growing organisation, while working closely with experienced and driven engineers to solve challenging problems. Role - Test data pipeline using automated test framework and perform data analysis - Follow MasterCard Quality Assurance and Quality Control processes - Leverage new technologies and approaches to innovating with increasingly large data sets - Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems - Perform assigned tasks and production incident independently - Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency All About You - 10 to 12 years of development and testing experience in Data Warehouse related projects in product or service based organisation - Expertise in ETL testing in end-to-end DW projects in Big Data environment using Spark - Experience of programming language like Java/ Python/ Unix scripting to build and enhance test automation framework - Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge - Experience of working on Nifi will be an added advantage - Experience of working in Agile teams - Strong analytical skills required for doing data analysis and defect management process - Strong communication skills - both verbal and written ñ and strong relationship, collaboration skills and organisational skills - Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results - Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement - Flexibility to work as a member of a matrix based diverse and geographically distributed project teams Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your e ... (truncated, view full listing at source)
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