Senior Data Engineer
Mastercard · Posted Oct 22
Global technology company connecting consumers, financial institutions, merchants, and businesses through secure payment processing and digital commerce solutions
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About the role
The Data Engineering team at Mastercard builds trusted, scalable datasets and pipelines that power analytics, BI, and machine learning use cases across the company. This role designs and delivers resilient data pipelines, curated data models, and ML-ready feature datasets while partnering closely with platform engineering, data science, and BI stakeholders.
What you will do
- Design, build, and maintain scalable batch and near-real-time data pipelines.
- Develop curated datasets and data models that enable reliable analytics and ML workloads.
- Implement pipeline reliability patterns (monitoring, alerting, retries, performance tuning).
- Partner with data scientists to enable feature engineering and model operationalization.
- Ensure secure data handling aligned to enterprise governance and compliance expectations.
- Drive engineering best practices (code quality, testing, documentation, CI/CD where applicable).
Skills used in this role
What the employer is looking for
- Strong proficiency in SQL and Python (or Scala) for data engineering.
- Experience building data pipelines using distributed processing (e.g., Spark,PySpark,HADOOP).
- Experience in using data technology technology like AWS, S3, Databricks.
- Solid understanding of data modeling (dimensional and/or lakehouse patterns) and data quality concepts.
- Experience working with cloud data ecosystems (AWS preferred) and object storage / lake patterns.
- Ability to troubleshoot performance and reliability issues in production pipelines.
- Strong communication skills and ability to collaborate across engineering and analytics stakeholders.
Preferred qualifications
- Experience with Databricks or similar lakehouse platforms.
- Exposure to ML feature pipelines, model deployment patterns, or MLOps concepts.
- Experience in payments / banking / regulated environments.
- Familiarity with data governance tooling (catalog, lineage) and PII handling patterns.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Mastercard
Mastercard is a global technology company in the payments industry that connects consumers, financial institutions, merchants, governments, and businesses worldwide. It operates a fast and secure payment processing network that spans more than 200 countries and territories. Through innovative products and solutions in credit, debit, digital assets, and security, Mastercard makes commerce safer, simpler, and more accessible.
- Industry
- Payments
- Company size
- 10001+ employees
- Founded
- 1966
- Location
- Purchase, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $115M raised
Leadership
Chief Executive Officer
Chief Business Officer
President & Chief Technology Officer
Chief People Officer
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