Staff Data Engineer

Visa
California
Workplace: HybridFull timeUSD 146,200 - 233,700 annuallyFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsEducation: bachelorsSkills: ["Mentoring","Communication","Team collaboration","Leadership","Technical leadership"]

Design, enhance, and build large-scale data systems for Visa’s digital marketing and engagement organization, including batch and real-time pipelines. Architect robust data platforms to process and transform structured and unstructured data, supporting analytics, reporting, and machine learning use cases. Partner with product, analytics, and business teams to translate requirements into scalable solutions, while implementing automation, monitoring, and data governance best practices and mentoring engineers.

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FursaFursa
Visa
Visa
2 months ago

Staff Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Design, enhance, and build large-scale data systems for Visa’s digital marketing and engagement organization, including batch and real-time pipelines. Architect robust data platforms to process and transform structured and unstructured data, supporting analytics, reporting, and machine learning use cases. Partner with product, analytics, and business teams to translate requirements into scalable solutions, while implementing automation, monitoring, and data governance best practices and mentoring engineers.
Location: California
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, build, and optimize large-scale data pipelines for batch and real-time processing.
  • •Develop and maintain distributed, highly available, scalable, and resilient data systems.
  • •Process, transform, and manage structured and unstructured data across platforms.
  • •Drive data platform and data product development supporting analytics, reporting, and machine learning use cases.
  • •Implement automation, monitoring, and observability, and mentor engineers while influencing data engineering best practices.
Travel: Low travel

Pay and Benefits

Salary: USD 146,200 - 233,700 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

  • •5+ years of relevant work experience with a Bachelor’s degree (or 2+ years with an advanced degree, or 0 years with a PhD).
  • •Solid big data engineering experience with Hadoop, Apache Spark, Python, and SQL.
  • •Expertise in Java or Scala and container-based technologies (Docker, Kubernetes).
  • •Proficiency building and managing large-scale data pipelines and machine learning models, including ETL/ELT development.
  • •Leadership in delivering enterprise-class applications, with strong communication and mentoring skills.
Experience:5+ yearsEnterprise softwareBig dataMachine learning
Education:Bachelor's
Skills:MentoringCommunicationTeam collaborationLeadershipTechnical leadership
Tech Stack:HadoopSparkPythonSQLJavaScalaDockerKubernetesKafkaRedisFlinkTensorFlowTritonAWSUnix/ShellAirflowControl-METLELTCI/CD

Company Brief

Visa
Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1958
Glassdoor
Glassdoor: 3.8
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