Visa

2 weeks ago

Senior Manager, Data Engineering

✓ 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

Lead teams that design, build, and operate scalable data engineering solutions for structured and unstructured data from internal and external sources. Oversee data pipelines to ensure quality, integrity, and consistency, and drive troubleshooting across large distributed systems. Champion automation, CI/CD, and quality practices, while coaching engineers. Partner with product, QA, risk, compliance, and security to deliver governed, secure, customer-centric solutions and build machine learning pipelines.

Location: Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead the design, development, and deployment of scalable data engineering solutions and big data systems.
•Oversee data pipelines to ensure data quality, integrity, and consistency across multiple sources and platforms.
•Troubleshoot and resolve complex issues in distributed systems and data pipelines.
•Drive automation, CI/CD, and quality engineering practices at scale.
•Coach and mentor engineers, and collaborate with cross-functional partners to meet business priorities, regulatory requirements, and data governance standards.

Travel: Low travel

Pay and Benefits

Salary: USD 162,500 - 260,400 annually

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•8+ years of relevant work experience with a Bachelor’s degree, or 5+ years with an advanced degree (e.g., Master’s, MBA, JD, MD), or 2 years with a PhD.
•Experience leading teams designing, developing, and deploying large-scale data engineering solutions.
•Hands-on experience with big data technologies such as Hadoop and Spark, and distributed data systems.
•Experience building and maintaining data pipelines, ETL processes, and data quality frameworks.
•Experience with programming tools including Python, SQL, and Git, plus troubleshooting issues in complex high-volume data environments.

Experience:8+ yearsBig dataDistributed systemsData engineeringMachine learning

Education:Bachelor's

Skills:LeadershipCoachingMentoringCollaborationTechnical troubleshooting

Tech Stack:PythonSQLGitHadoopSparkETLCI/CDAWSAzureGCPMachine learningGenerative AIChatGPTMicrosoft Copilot

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

2 weeks ago

Senior Manager, Data Engineering

✓ 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: Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead the design, development, and deployment of scalable data engineering solutions and big data systems.
•Oversee data pipelines to ensure data quality, integrity, and consistency across multiple sources and platforms.
•Troubleshoot and resolve complex issues in distributed systems and data pipelines.
•Drive automation, CI/CD, and quality engineering practices at scale.
•Coach and mentor engineers, and collaborate with cross-functional partners to meet business priorities, regulatory requirements, and data governance standards.

Travel: Low travel

Pay and Benefits

Salary: USD 162,500 - 260,400 annually

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•8+ years of relevant work experience with a Bachelor’s degree, or 5+ years with an advanced degree (e.g., Master’s, MBA, JD, MD), or 2 years with a PhD.
•Experience leading teams designing, developing, and deploying large-scale data engineering solutions.
•Hands-on experience with big data technologies such as Hadoop and Spark, and distributed data systems.
•Experience building and maintaining data pipelines, ETL processes, and data quality frameworks.
•Experience with programming tools including Python, SQL, and Git, plus troubleshooting issues in complex high-volume data environments.

Experience:8+ yearsBig dataDistributed systemsData engineeringMachine learning

Education:Bachelor's

Skills:LeadershipCoachingMentoringCollaborationTechnical troubleshooting

Tech Stack:PythonSQLGitHadoopSparkETLCI/CDAWSAzureGCPMachine learningGenerative AIChatGPTMicrosoft Copilot

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