Visa

1 month ago

Data Engineer - Sr. Consultant level

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Design and build a Visa data token platform within agile self-managing teams. Lead multiple projects delivering real-time scoring services, RESTful APIs, and secure, scalable, highly available distributed systems. Drive innovation using machine learning and deep learning, including building and productizing data pipelines and ETL workflows. Collaborate with product management, analyze business requirements, coach team members, and represent the team in technical forums while shipping production-ready code quickly.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, enhance, and build a Visa data token platform in an agile development environment.
•Build full-stack real-time scoring services, RESTful APIs, and container-based distributed services.
•Architect secure, robust, and scalable solutions based on business requirements.
•Drive proof of concept initiatives by designing and implementing prototypes for systems or components.
•Coach and mentor team members while partnering with product management and other cross-functional teams.

Travel: Low travel

Pay and Benefits

Salary: USD 169,100 - 270,800 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•8+ years of relevant work experience with a Bachelor’s degree, or at least 5 years with an Advanced degree (e.g., Masters, MBA, JD, MD), or 2 years with a PhD.
•Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications.
•Solid big data engineering experience with Hadoop, Apache Spark, Python, and SQL.
•Expertise in Java and REST APIs, with containerization strategies using Docker and Kubernetes.
•Proficiency building and managing large-scale data pipelines, ETL processes, and productizing AI/ML models.

Experience:8+ years

Skills:LeadershipCommunicationMentoringCollaborationTechnical leadership

Tech Stack:DockerKubernetesJavaSpring BootReactREST APIsHadoopApache SparkScalaPythonSQLKafkaRedisFlinkTensorFlowTritonAWS servicesUnix/ShellAirflowControl-M

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 month ago

Data Engineer - Sr. Consultant level

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 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, enhance, and build a Visa data token platform in an agile development environment.
•Build full-stack real-time scoring services, RESTful APIs, and container-based distributed services.
•Architect secure, robust, and scalable solutions based on business requirements.
•Drive proof of concept initiatives by designing and implementing prototypes for systems or components.
•Coach and mentor team members while partnering with product management and other cross-functional teams.

Travel: Low travel

Pay and Benefits

Salary: USD 169,100 - 270,800 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•8+ years of relevant work experience with a Bachelor’s degree, or at least 5 years with an Advanced degree (e.g., Masters, MBA, JD, MD), or 2 years with a PhD.
•Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications.
•Solid big data engineering experience with Hadoop, Apache Spark, Python, and SQL.
•Expertise in Java and REST APIs, with containerization strategies using Docker and Kubernetes.
•Proficiency building and managing large-scale data pipelines, ETL processes, and productizing AI/ML models.

Experience:8+ years

Skills:LeadershipCommunicationMentoringCollaborationTechnical leadership

Tech Stack:DockerKubernetesJavaSpring BootReactREST APIsHadoopApache SparkScalaPythonSQLKafkaRedisFlinkTensorFlowTritonAWS servicesUnix/ShellAirflowControl-M

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