Staff Data Engineer

Visa
Austin
Workplace: HybridFull timeUSD 137,200 - 219,700 annuallyFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsEducation: bachelorsSkills: ["Leadership","Communication","Interpersonal skills","Teamwork","Mentoring"]

Build and optimize large-scale batch and real-time data pipelines for Visa’s data token platform within an agile environment. You’ll design distributed, highly available data systems, manage structured and unstructured data, and deliver data platforms and products that support analytics, reporting, and machine learning use cases. Partner with product, analytics, and business teams to translate requirements into scalable solutions while improving data quality, governance, automation, monitoring, and observability, and mentoring engineers.

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FursaFursa
Visa
Visa
1 day ago

Staff Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and optimize large-scale batch and real-time data pipelines for Visa’s data token platform within an agile environment. You’ll design distributed, highly available data systems, manage structured and unstructured data, and deliver data platforms and products that support analytics, reporting, and machine learning use cases. Partner with product, analytics, and business teams to translate requirements into scalable solutions while improving data quality, governance, automation, monitoring, and observability, and mentoring engineers.
Location: Austin
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 data systems that are highly available, scalable, and resilient.
  • •Process, transform, and manage structured and unstructured data across platforms and lead data product development for analytics, reporting, and ML use cases.
  • •Architect solutions using big data technologies (e.g., Hadoop and Spark) and implement ETL/ELT with strong data quality and performance.
  • •Implement automation, monitoring, and observability, lead technology evaluation (POCs), and mentor engineers while driving data engineering best practices.
Travel: Low travel

Pay and Benefits

Salary: USD 137,200 - 219,700 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kPaid LeaveWellness StipendLife Insurance

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).
  • •Demonstrated leadership delivering high-quality, large-scale enterprise applications.
  • •Solid big data engineering experience with Hadoop, Apache Spark, Python, and SQL.
  • •Experience building and managing large-scale data pipelines and machine learning models.
  • •Experience with ETL/ELT pipelines, including Spark pipelines, and ensuring high data quality, reliability, and performance.
Experience:5+ years
Education:Bachelor's
Skills:LeadershipCommunicationInterpersonal skillsTeamworkMentoring
Tech Stack:HadoopApache SparkPythonSQLDockerKubernetesETLELTKafkaRedisFlinkTensorFlowTritonAWSUnixShellAirflowControl-MCI/CDTDD

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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