Senior Data Engineer

Atlanta, Georgia (675 Ponce De Leon Ave NE)


Wir verbinden und fördern eine integrative, digitale Wirtschaft, von der Menschen, Unternehmen und Regierungen weltweit profitieren, indem wir Transaktionen sicher, einfach und zugänglich machen.

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Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Senior Data Engineer


Interested in building the next generation platform that handles petabytes of data and powers data insight creation using cutting edge data science technology? Excited about using Big Data, AI/Machine Learning and Data Analytics to deliver actionable insights? We are a dynamic team of top-notch engineers who are committed to make a dent in the FinTech universe.

The Marketing Services (MS) Technology team is looking for a Senior Data Engineer who is passionate about data and analytics, highly motivated and can take technical ownership of data solutions with an emphasis on engineering efficiency and on-time delivery.

The ideal candidate is exposed to the fast-paced world of Big Data technology and has experience in building data solutions using new and emerging technologies while maintaining stability of the platform. The person will get a chance to work with diverse datasets and be on the cutting edge of transforming the way Mastercard captures, processes, stores and visualizes data.

In this role, you will:

• Develop batch and streaming solutions using various Big Data technologies
• Be responsible for assessing technologies and approaches for ingestion, transformation and storage
• Develop software utilizing open source technologies to interface with distributed and relational data sources
• Work closely with team members from across Mastercard to identify functional and system requirements

All About you

The ideal candidate for this position should:

• Have hands-on knowledge of Spark (Scala preferred), Hadoop, Kafka etc.
• Be skilled at explaining technical problems succinctly and clearly
• Have experience working with real-time or near real-time ingestion
• Always look for potential solutions to solve problems
• Have strong programming knowledge in Java , Scala or Python.
• Proven track record of delivering software projects and willingness to roll up sleeves to get the job done
• Have excellent oral and written communication
• Be familiar with Agile/Scrum methodologies
• Have demonstrated ability to adapt to new technologies and learn quickly
• Have a BS/BA degree in Computer Science, Information Systems or related field


In the US, Mastercard is an inclusive Equal Employment 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. If you require accommodations or assistance to complete the online application process, please contact 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.

Pay Ranges

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Tags: Agile Big Data Computer Science Data Analytics Engineering FinTech Hadoop Java Kafka Machine Learning Open Source Python Scala Scrum Security Spark Streaming

Perks/benefits: 401(k) matching Career development Competitive pay Fitness / gym Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave Salary bonus Team events

Region: North America
Country: United States
Job stats:  6  0  0
Category: Engineering Jobs

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