About Us

At Mastercard, we're powering economies and empowering people, building ​ a sustainable economy where everyone prospers.

Size: 10000+ employees
Industry: Consulting, Financial Services, Technology, Fintech

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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:

Lead 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.

Overview:

The Marketing Technology Solutions team at Mastercard is looking for a Senior Data Engineer to design, develop, and maintain data and analytics solutions that support Mastercard's B2B marketing initiatives. This role is key in building the data environment and integrations that will power advanced omni-channel marketing campaigns. As part of a small, collaborative team, you will work with large-scale data sets to unlock the value of big data across the global marketing team.
The ideal candidate is a hands-on engineer with a strong background in data engineering, a passion for building scalable solutions, and a commitment to driving business impact.

Role:

• Drive the evolution of data-driven marketing at Mastercard with a strong emphasis on data engineering and data science, ensuring impactful advancements in data quality, scalability, and efficiency.
• Develop and fine-tune methods and algorithms to generate precise, high-quality data at scale, including the creation and maintenance of feature stores, analytical stores and curated datasets for enhanced data integrity and usability.
• Solve complex data challenges involving multi-layered data sets though the building of data pipelines, libraries, and frameworks.
• Provide support for deployed data applications and analytical models, identifying data issues and guiding resolutions.

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• Ensure proper data governance policies are followed by implementing or validating data lineage, quality checks, classification, etc.
• Integrate diverse data sources, including real-time, streaming, batch, and API-based data, to enrich platform insights and drive data-driven decision-making.
• Experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines.
• Collaborate with cross-functional teams to determine priority problems and innovative solutions.
• Develop and enforce best practices for data engineering, including coding standards, code reviews, and documentation.
• Ensure data security and privacy compliance, implementing measures to protect sensitive data.

All About You:

• Bachelor's degree in Computer Science, Software Engineering, or a related field• Extensive hands-on experience in Data Engineering, including implementing multiple end-to-end data warehouse projects in Big Data environments.
• Proven track record in building and deploying production level data driven applications and data processing workflows/pipelines.
• Proficiency in application development frameworks (Python, Java/Scala) and data processing/storage frameworks (Hadoop, Spark, Kafka).
• Experience in designing and managing data orchestration workflows using tools such as Apache Ni Fi, Apache Airflow, or similar platforms to automate and streamline data pipelines.
• Experience with performance tuning of database schemas, databases, SQL, ETL jobs, and related scripts.
• Experience of working in Agile teams• Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale using Java, Scala, or Python. This includes all phases such as data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting analytics.
• Experience in developing integrated cloud applications with services like Azure, Databricks, AWS or GCP.
• Excellent analytical and problem-solving skills, with the ability to analyze complex data issues and develop practical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with and facilitate activities across cross-functional teams, geographically distributed, and stakeholders.

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 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.

Client-provided location(s): Toronto, Canada

Job ID: Mastercard-22331_R-253761

Employment Type: OTHER

Posted: 2025-07-17T04:06:52
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Perks and Benefits

Health and Wellness

• Health Insurance
• Dental Insurance
• Vision Insurance
• Life Insurance
• Short-Term Disability
• Long-Term Disability
• FSA
• FSA With Employer Contribution
• HSA
• HSA With Employer Contribution
• Fitness Subsidies
• On-Site Gym
• Pet Insurance
• Mental Health Benefits
• Virtual Fitness Classes
• Health Reimbursement Account

Parental Benefits

• Birth Parent or Maternity Leave
• Non-Birth Parent or Paternity Leave
• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources
• On-site/Nearby Childcare
• Adoption Leave

Work Flexibility

• Flexible Work Hours
• Remote Work Opportunities
• Hybrid Work Opportunities

Office Life and Perks

• Commuter Benefits Program
• Casual Dress
• Happy Hours
• Snacks
• Company Outings
• On-Site Cafeteria
• Holiday Events
• Some Meals Provided

Vacation and Time Off

• Paid Vacation
• Paid Holidays
• Personal/Sick Days
• Leave of Absence
• Volunteer Time Off

Financial and Retirement

• 401(K) With Company Matching
• Performance Bonus
• Relocation Assistance
• Financial Counseling
• Stock Purchase Program
• 401(K)
• Company Equity

Professional Development

• Tuition Reimbursement
• Promote From Within
• Mentor Program
• Access to Online Courses
• Lunch and Learns
• Internship Program
• Work Visa Sponsorship
• Leadership Training Program
• Associate or Rotational Training Program
• Shadowing Opportunities

Diversity and Inclusion

Employee Resource Groups (ERG)

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