Sr Software Engineer

PayPal

Hybrid Actively hiring Posted this week Verified listing

San Jose, CA Posted 3 days ago Apply by Jun 15, 2026 $187,741–$270,500 / year

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99+ other roles within 25 mi Near San Jose, CA

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k

This role $229k

$122k most similar roles pay here $286k

This role pays more than 91% of similar roles. Most pay $141,971–$201,250 — the shaded band above. At the midpoint, this role pays about $229k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About PayPal

PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.

PayPal currently has 78 open roles on FindRole.

Listed pay typically runs $160,500–$238,700 across 78 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR

Senior Data Analyst at PayPal, this role involves collaborating with Product Managers and other stakeholders to identify opportunities for data-driven improvements. Day-to-day responsibilities include analyzing complex datasets, creating visualizations using graphs and infographics, and developing reports and presentations based on findings. The candidate will also work on automating discrepancy identification processes through query writing and implementing a reporting data model in an Agile environment with test-driven development methodologies. Essential skills include proficiency in Java, Spring Boot, Python, SQL, web services, REST APIs, cloud computing (AWS/GCP), data analytics, Apache Airflow, data modeling, and AI/ML. This position is part of a dynamic team focused on enhancing product performance through advanced data analysis techniques at PayPal’s San Jose office.

Skills

JAVA Spring Boot Python SQL REST APIs AWS GCP Data Analytics Apache Airflow Data Modeling AI ML Terraform CI/CD

What you'll do

Analyze product requirements and data to identify opportunities for improvement.
Create visualizations such as graphs and infographics to communicate findings.
Implement the reporting data model using Agile methodologies with test-driven development.
Write queries and automate discrepancy identification processes in runbooks.
Participate in software development lifecycle activities including design, coding, testing, and release.
Define validation queries to identify discrepancies in data sets.
Structure large datasets to extract usable information for analysis.

What we're looking for

Master’s degree in Computer Science, Engineering or a related field required.
2+ years of experience with JAVA and Spring boot.
2+ years of experience with Python and SQL.
2+ years of experience in Web Services and REST APIs.
2+ years of expertise in Cloud Architecture (AWS and GCP).
Experience in Data Analytics, Apache Airflow, and Data Modeling.
Knowledge of AI/ML and Agile software development methodologies.