Data Engineer

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Foster City, CA
Salary
$112,400–$174,500 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $143k
$101k most similar roles pay here $223k

This role pays less than 64% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $143k versus about $169k 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 · Data Engineer

Data Engineer The Data Engineering team within the Global Data Office is responsible for designing, building, and optimizing data pipelines and platforms that power analytics and decisioning capabilities. In this role, you will design and deliver scalable, high-quality data solutions, including large-scale ETL processes to generate card level aggregated attributes. You will build and manage DAGs in Apache Airflow, ensure quality control of data assets across pipeline stages, and implement advanced modeling frameworks like Medallion Architecture. The role requires proficiency in Python, SQL, PySpark, Bash scripting, and the Hadoop ecosystem, including Spark and Iceberg. You will also utilize AWS services such as S3, EMR, and Glue Catalog, while working with Snowflake or Databricks. Your work focuses on solving complex problems regarding data quality, scalability, and reliability to support global innovation strategies.

What does a Data Engineer earn in California?

Median $193675 from 40 postings across 21 companies.

See salary data

What you'll do

  • Build and manage large-scale ETL processes to generate card-level aggregated attributes.
  • Develop modular, reusable code for data pipelines while ensuring scalability and configurability.
  • Build, schedule, and manage complex DAGs within Apache Airflow.
  • Monitor data processing tasks in pipelines and resolve execution errors promptly.
  • Perform quality control by reconciling data assets across different stages of the pipeline.
  • Use advanced analytics to identify, investigate, and fix data issues.
  • Translate ambiguous business requirements into clear technical implementation plans for stakeholders.

What we're looking for

  • Minimum of 6 months of work experience or a bachelor's degree.
  • 2 or more years of work experience (preferred).
  • 1-3 years of experience with a bachelor’s degree in computer science, data engineering, information science, electronics, etc. (preferred).
  • Hands-on experience building and operating production data pipelines (preferred).
  • Extensive experience in the Hadoop ecosystem, including Apache Spark, Python, Pandas, and open table formats like Iceberg (preferred).
  • Proficiency in Python, SQL, PySpark, and Unix/Linux systems with Bash scripting (preferred).
  • Experience with Airflow, AWS services (S3, EMR, Glue), and platforms such as Databricks or Snowflake (preferred).
  • Strong communication skills to convert ambiguous business requirements into technical plans (preferred).

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