Senior Data Engineer: Build Global, Scalable Data Platforms

TaskVerse

United States

Hybrid

USD 150.000 - 190.000

Vollzeit

vor 20 Stunden
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

401(k) plan
Paid time off
Professional development

Zusammenfassung

Visa’s Data Platforms organization maintains the foundational data ecosystem powering core payment data domains such as authorization, clearing, and settlement. As a Senior Data Engineer, you will design and build scalable data platforms handling petabyte‑scale datasets, ensuring data accessibility, security, and reliability across internal and customer‑facing applications.

You will mentor engineers, collaborate with data scientists and architects, and influence platform architecture while

Qualifikationen

  • Minimum 8+ years of relevant work experience with a Bachelor’s degree, or 5+ years with a Master’s/MBA, or 2+ years with a PhD; 11+ years also considered.
  • Strong expertise in SQL, NoSQL, graph databases, and RESTful APIs.
  • Proficiency in Java, Scala, or Python; ability to produce production-quality prototypes and core components.

Aufgaben

  • Partner with product managers, architects, and stakeholders to translate requirements into scalable data platform solutions.
  • Design, develop, and enhance distributed data processing systems for payments, analytics, and settlement workloads.
  • Lead technical design discussions, architecture reviews, and engineering decisions for complex projects.

Kenntnisse

SQL
NoSQL
Spark
Python/Java/Scala
Data governance

Ausbildung

Bachelor's degree in CS or equivalent

Tools

Git
CI/CD
Hive

Jobbeschreibung

Visa’s Data Platforms organization maintains the foundational data ecosystem powering core payment data domains such as authorization, clearing, and settlement. As a Senior Data Engineer, you will design and build scalable data platforms handling petabyte‑scale datasets, ensuring data accessibility, security, and reliability across internal and customer‑facing applications.

You will mentor engineers, collaborate with data scientists and architects, and influence platform architecture while

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