Lead Data Engineer

Mastercard

3.5

(13)

O'Fallon, MO

Why you should apply for a job to Mastercard:

  • 4.7/5 in supportive management
  • 69% say women are treated fairly and equally to men
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.

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    Position summary

    d cloud enablement for Data and Services. As Lead Data Engineer you will push the limits of the state of the art with best-in-class data product enablement in the cloud and will design the roadmap develop data & analytics solutions that sit atop vast datasets. Your will enable a frictionless customer and developer experience, exposing data components for direct to customer use or as components for new product constructs. You will have the opportunity to create high performance analytic and ML solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.

    Role:
    • Lead the design of new data capabilities and infrastructure related to accessing and using MA, third party, and partner data to power Mastercard data products and solutions.
    • Design required new data pipes, data transfers, and compliance related infrastructure to enable that use of the data in the cloud.
    • Identify data-related capabilities and infrastructure requirements resulting from new and evolving product constructs and how those requirements can be developed cloud natively.
    • Understand the Data and Services business strategy, information infrastructure and data needs for both new and existing products and services across various product initiatives.
    • Collaborate with relevant data management, data governance and technical teams to enable long term viability of information assets and enterprise requirements.
    • Develop a horizontal technology roadmap in conjunction with Data Strategy & Management team input to enable technology solutions for managing data that meet the needs of multiple business stakeholder groups.
    • Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation.

    All About You:
    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    • Experience in data engineering, with a focus on building data pipelines and infrastructure for ML and AI applications.
    • Proficiency in programming languages such as Python.
    • Solid understanding of ML and AI concepts, algorithms, and techniques.
    • Experience in data product development, analytical models, and model governance
    • Experience in anonymizing data and managing the use of data.
    • Experience in data hygiene procedures, identity resolution capabilities or data management is a plus.
    • Strong project management skills and a demonstrated ability to understand complex information product constructs.
    • Familiarity with industry best practices for collection and use of data
    • Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

    #LI-NF1
    #AI2

    Mastercard is an 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. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] 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 email promptly.

    Corporate Security Responsibility

    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.

    In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 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, gender-inclusive benefits and many more.

    Why you should apply for a job to Mastercard:

  • 4.7/5 in supportive management
  • 69% say women are treated fairly and equally to men
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.