Senior Software Engineer (Data Engineer)

d solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Overview:
The Identity Verification group uses machine learning models, large proprietary data sets, and high volume / low latency services to help our customers reduce transaction, account takeover, and financial risks. This position is within our Data Platform team, focused on organizing, transforming, and responsibly governing the data used by our machine learning models and Data Science teams.

The Feature Services and Events team is looking for a Senior Software Engineer who thrives on designing, coding, and maintaining large data processing systems. Our ideal candidate will understand the challenges of working with data at scale and have a firm knowledge of algorithms and processing complexity.

The Role:

• Work as part of a Scrum team that is geographically diverse (US west coast and central Europe)
• Design, implement, and maintain a robust and high-reliable signal calculation pipeline (feature store) which fulfills the needs of Data Science across the org
• Create design documents and supporting diagrams. Incorporate feedback and negotiate trade-offs with product, security, data privacy, and other stakeholders
• Lead Retrospectives and Root Cause Analysis to enable continual improvement
• Conduct technical interviews for hiring engineering staff and raising the performance bar
• Mentor junior software engineers
• Advance company engineering culture by identifying and promoting improved technologies and processes.

All About you:

• A strong background in computer science, with a deep understanding of data structures, algorithms, and software engineering principles.
• Proficiency in Spark, SQL, and Scala is required.
• Hands-on experience with Databricks is required.
• Proficiency in Redis, ElasticCache, ElasticSearch or similar in-memory database
• Proficiency in Java or another similar Object-Oriented Programming language is highly recommended.
• Working knowledge of Unix/Linux environments.
• Familiarity with cloud platforms (preferably AWS) and infrastructure as it relates to data engineering and ETL processes.
• Experience working with REST APIs and integrating external data services.
• Experienced with working with large data sets. You've implemented parallel or real-time processing and addressed the limitations and challenges of working with terabytes of data.
• Excellent debugging and troubleshooting skillsets, especially into analyzing core, memory, heap, thread dumps and/or removing coding errors.
• Excellent understanding of Agile methodologies, with the ability to drive iterative delivery and cross-team collaboration.
• Strong communicator with the ability to explain complex concepts to both technical and non-technical audiences and to influence stakeholders across product, engineering, and acquisition teams.
• Bachelor's degree in Computer Science, Software Engineering, or a related field or equivalent practical experience.

#AI3

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.

Pay Ranges
Vancouver, Canada: $104,000 - $167,000 CAD