Visa

1 week ago

Staff Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 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: United States

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: 3.8

Website LinkedIn Glassdoor

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Visa

1 week ago

Staff Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: United States

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

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: 3.8

Website LinkedIn Glassdoor