Staff Data Engineer

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Foster City, CA
Salary
$146,200–$233,700 / yr
Posted
102 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $190k
$136k most similar roles pay here $244k

This role pays more than 50% of similar roles. Most pay $153,587–$218,150 — the shaded band above. At the midpoint, this role pays about $190k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About Visa

Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services

Visa currently has 93 open roles on FindRole.

Listed pay typically runs $149,200–$238,700 across 92 roles with salary data.

Most-posted roles

View all roles at Visa

At a glance

TL;DR · Staff Data Engineer

As a Staff Data Engineer within the Value Added Services – Digital Marketing & Engagement organization, you will design, enhance, and build the Visa data token platform in an agile environment. You will be responsible for architecting and building large-scale batch and real-time data pipelines, managing distributed systems, and developing data products to support analytics, reporting, and machine learning use cases. Your daily work involves processing structured and unstructured data while ensuring high quality, reliability, and performance through automation and monitoring. The role requires expertise in big data technologies including Hadoop, Spark, Python, SQL, Java, Scala, Kafka, Redis, Flink, TensorFlow, Triton, and AWS services. You will also utilize Docker, Kubernetes, Airflow, and Control-M to manage infrastructure while mentoring engineers and driving best practices in data modeling and governance for the token platform.

What does a Data Engineer earn in California?

Median $193675 from 40 postings across 21 companies.

See salary data

What you'll do

  • Design, build, and optimize large-scale data pipelines for both batch and real-time processing.
  • Develop and maintain distributed data systems that are highly available, scalable, and resilient.
  • Architect solutions using big data technologies such as Hadoop, Spark, and distributed processing frameworks.
  • Build and optimize ETL/ELT pipelines to ensure high data quality, reliability, and performance.
  • Implement automation, monitoring, and observability for data pipelines across the entire lifecycle.
  • Lead proof-of-concept initiatives to evaluate and adopt new data engineering technologies.
  • Translate business requirements from product and analytics teams into scalable technical solutions.
  • Mentor junior engineers and foster a culture of continuous learning and accountability.

What we're looking for

  • Experience with a Bachelor's degree, with an Advanced degree, or a PhD.
  • Preferred: experience with a Bachelor's, with an Advanced degree, or up to with a PhD.
  • Solid experience in big data engineering using Hadoop, Apache Spark, Python, and SQL.
  • Expertise in Java or Scala and container-based technologies like Docker and Kubernetes.
  • Proficiency in creating large-scale data pipelines, machine learning models, and ETL processes.
  • Proficiency in Kafka, Redis, Flink, TensorFlow, Triton, and AWS services.
  • Skilled in Unix/Shell or Python scripting and scheduling tools such as Airflow and Control-M.
  • Familiarity with Agile development, TDD, CI/CD, and various database systems.

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