Lead Data Engineer, Mastercard
AI & Data Strategy
CA$127-203k
Global payments technology company
Be an early applicant
Global payments technology company
1001+ employees
Be an early applicant
CA$127-203k
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- Good knowledge of Linux / Bash environment
- Experience in the following platforms: Python, Pyspark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks
- Familiar with agile & agentic engineering best practices
- Good communication skills
- Highly skilled problem solver
- Exhibits a high degree of initiative
Desirable
- Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field
- Data Engineering Experience
- Experience with Java
- Experience with Jenkins
- Experience in with data engineering on petabyte scale data
- Understands and implements methods to evaluate own work and others for error
- Loves working with error-prone, messy, disparate, unstructured data
What the job involves
- The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard’s authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized
- Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution
- You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes
- Lead collaboration with data scientists to understand the existing modeling pipeline and identify optimization opportunities
- Oversee the integration and management of data from various sources and storage systems, establishing processes and pipelines to produce cohesive datasets for analysis and modeling
- Design and develop data pipelines to automate repetitive tasks within data science and data engineering
- Demonstrated experience leading cross-functional teams or working across different teams to solve complex problems
- Partner with software engineering teams to deploy and validate production artifacts
- Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams
- Create data products that are well-modeled, thoroughly documented, and easy to understand and maintain
- Comfortable leading projects in environments with undefined or loose requirements
- Mentor junior data engineers
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitized, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitized payments world.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Company HQ
Purchase, Harrison, NY
Leadership
Michael Miebach
(CEO)Michael has served in a variety of roles at the company, including President and CPO. They are currently a Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
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