Software Engineer

PayPal

Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$108,077–$180,000 / yr
Posted
2 days ago
Closes
Jun 18, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k
This role $144k
$94k most similar roles pay here $235k

This role pays less than 78% of similar roles. Most pay $153,556–$214,500 — the shaded band above. At the midpoint, this role pays about $144k versus about $184k 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 84 open roles on FindRole.

Listed pay typically runs $160,500–$235,826 across 84 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Software Engineer

As a Software Engineer on PayPal’s data engineering team in Chicago, you will design and develop secure, high-performing ETL processes to integrate and transform large volumes of data from various sources into the company's data warehouse. Your daily tasks include building robust data pipelines, implementing automated data quality checks, and ensuring system scalability and efficiency through continuous monitoring and optimization. You will collaborate closely with product managers and analysts to understand business needs and develop technical solutions that accommodate growing data volumes. Additionally, you will participate in design reviews and code iterations while staying updated on emerging technologies to recommend and implement improvements for scalable growth. The role requires expertise in Unix/Linux, SQL, Python, PySpark or Pandas, Google BigQuery or AWS Redshift, CI/CD pipelines, and experience with cloud platforms like AWS or GCP.

What you'll do

  • Design and develop secure, high-performing data integration and ETL processes.
  • Build and maintain robust data pipelines for ingesting, transforming, and loading data into warehouses.
  • Implement automated data quality checks to ensure integrity and accuracy of large datasets.
  • Troubleshoot data-related issues, identifying root causes and implementing solutions.
  • Collaborate with stakeholders to develop technical solutions that meet business needs for large volumes of data.
  • Participate in design and software code reviews, iterating rapidly through development stages.

What we're looking for

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.
  • 2+ years of experience with Unix/Linux operating systems and SQL.
  • 2+ years of experience optimizing performance for large-scale data processing.
  • 1+ year experience with PySpark or Pandas, and Google BigQuery or AWS Redshift.
  • 2+ years of hands-on experience in CI/CD processes.
  • Strong proficiency in Python programming language.
  • Experience working with cloud platforms like AWS or GCP.

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