Senior Data Engineer
Role details
Job location
Tech stack
Job description
We are seeking a Senior Data Engineer with expertise in Apache Spark, Apache Iceberg, Apache Airflow, and AWS to design and build the next generation of our finance data platform. You will own finance-focused data products while contributing to foundational platform capabilities and engineering standards that scale across the enterprise., Data Products
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Design, develop, and maintain data products
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Ensure data products meet quality, auditability, lineage, and compliance standards Platform Engineering & Framework Development
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Build reusable data engineering frameworks and accelerators used across multiple teams
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Develop standardized patterns for ingestion, transformation, orchestration, monitoring, and data quality
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Contribute to and promote engineering standards and best practices across the team for Spark, Iceberg, Airflow, and cloud-native engineering
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Drive adoption of self-service platform capabilities and common engineering standards
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Build and optimize Apache Iceberg-based lakehouse solutions for analytical and operational workloads
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Design and optimize distributed processing workloads to ensure performance, resiliency, scalability, and cost efficiency.
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Design, implement, and support workflow orchestration solutions that manage dependencies, scheduling, monitoring, and recovery across complex data pipelines.
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Integrate and transform data from multiple internal and external sources to create trusted, reusable, and business-ready datasets.
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Design and maintain logical and physical data models that support scalable analytics, reporting, and data product development.
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Apply data security and governance standards including access controls, encryption, data masking, regulatory compliance, and secure data lifecycle management.
Cloud Engineering
- Build cloud-native solutions on AWS - S3, EMR, Glue, Lambda, ECS/EKS, CloudWatch
- Implement CI/CD pipelines, automated testing, and Infrastructure-as-Code, 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.
Requirements
The ideal candidate is a hands-on engineer who thrives in modern Lakehouse architecture, large-scale pipeline development and analytical mindset., * 4+ years of experience in data engineering, data platform development, or related technical roles.
- Experience designing and implementing scalable data platforms and data products in enterprise environments.
- Knowledge of data mesh or data product architectures in enterprise settings.
- Deep hands-on experience with Apache Spark (PySpark) for large-scale data processing and pipeline development.
- Deep hands-on experience with Apache Iceberg or similar open table formats
- Solid understanding of CI/CD pipelines, infrastructure-as-code and DevOps practices.
- Experience with data governance, data quality frameworks, and metadata management tools.
- Strong experience with AWS Cloud services, including services such as Amazon S3, EMR, Glue, Lambda, ECS/EKS, and CloudWatch for developing, deploying, and managing cloud-native data solutions.
Benefits & conditions
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. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges Miami, Florida: $115,000 - $184,000 USD