Principal Data Engineer

Posted 3 Days Ago
New York, NY
Hybrid
138K-265K Annually
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
As a Principal Data Engineer at Mastercard, you will design data models, build data pipelines, implement CI/CD processes, and support data science efforts while collaborating with multiple stakeholders.
Summary Generated by Built In
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
Principal Data Engineer
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Key Responsibilities• Gather and understand the data engineering requirements based on the product and Engineering specifications.• Conduct data discovery to build data models, schemas, tables, view, schemas deployment and many more.• Building appropriate data pipelines in the application to support ETL and automate the pipelines.• Build or use existing tools to execute one time ad-hoc data engineering asks.• Implement and manage CI/CD pipelines using GitLab and Jenkins, enabling automated testing, deployment, and monitoring of data workflows.• Build fact tables, conduct analysis and reporting as per needs.• Conduct data analysis and perform data operations to support business decisions.• Provide architecture guidelines and support from Data engineering aspects in product development.• Apply exceptional problem-solving and analytical skills to troubleshoot complex data and system issues.• Support Data Science team in building model deployment, data pipelines, serving etc.• Document pipeline architecture, processes, and standards, promoting consistency and transparency across the team.• Learn latest trends in data engineering concepts, tools and share with wider organization in brown bags etc. Provide thought leadership within this area for the entire department.• Work with TPMs, product and relevant stakeholders while executing Data engineering assignments by leading the plan.
All about you:• Expert in SQL development with hands-on experience in Databricks, Snowflake, Python, and PySpark for designing and implementing advanced data engineering solutions.• Proven experience collaborating with stakeholders and cross-functional teams to understand business requirements and deliver reliable, high-impact cloud data solutions across Azure, AWS, and Cloud Data Warehouse platforms.• Strong leadership and communication skills, with the ability to guide and mentor data engineering teams, ensuring effective collaboration between technical and non-technical stakeholders.• Skilled in architecting and developing scalable, reusable data models, pipelines, and frameworks leveraging Hadoop, NiFi, and modern cloud Data Lake architectures.• Experienced in planning and executing end-to-end deployments, upgrades, and migrations with minimal disruption to operations, ensuring adherence to best practices in cloud-native and distributed systems.• Holds a Bachelor's degree in Computer Science.
Nice to have:
1. Good understanding of payment networks.
2. Skill in identifying new product ideas from data.
3. Experience publishing and protecting scientific intellectual property work.
Skills:
SQL, Databricks, Azure/AWS, Cloud Datawarehouse, Hadoop, Python, Pyspark, Nifi & Data Lake.
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 [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 and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. 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 of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 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; and many more.
Pay Ranges
O'Fallon, Missouri: $138,000 - $221,000 USD
New York City, New York: $166,000 - $265,000 USD
Purchase, New York: $159,000 - $254,000 USD

Top Skills

AWS
Azure
Cloud Data Warehouse
Data Lake
Databricks
Hadoop
Nifi
Pyspark
Python
SQL
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The Company
HQ: Purchase, NY
35,300 Employees
Year Founded: 1966

What We Do

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.

Why Work With Us

We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.

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Mastercard Teams

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.

Typical time on-site: 3 days a week
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