Data Engineer

PayPal is a global financial technology company that operates a two-sided network connecting merchants and consumers, enabling digital and mobile payments worldwide.
$72,700 - $176,000
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
Finance

Description For Data Engineer

PayPal is seeking a Data Engineer to join their Credit Platform Data team. This role is crucial in building and enhancing data processing tools that enable internal business units to leverage data efficiently. The position involves developing secure, high-performing data integration and ETL processes, working through all development stages from analysis to production releases.

As a Data Engineer at PayPal, you'll be part of a company that has been revolutionizing global commerce for over 25 years. PayPal operates a massive two-sided network connecting hundreds of millions of merchants and consumers worldwide, facilitating secure transactions and financial services. The company's mission focuses on democratizing financial services and ensuring everyone can participate in the global economy.

The role requires strong technical skills in SQL, Python, and data processing libraries like PySpark and Pandas. You'll work with modern data warehousing tools and be responsible for designing and maintaining scalable data pipelines. The position offers a balanced hybrid work model with 3 days in office and 2 days flexible between office or home.

PayPal offers comprehensive benefits including medical, dental, and vision insurance, equity compensation, retirement benefits, and a unique sabbatical program. The company strongly values diversity and inclusion, maintaining a workplace where all employees feel accepted and valued. The compensation range of $72,700 to $176,000 reflects PayPal's commitment to fair and competitive pay practices.

This is an excellent opportunity for a data professional looking to make an impact at a global scale while working with cutting-edge technologies in a collaborative environment. The role combines technical challenges with business impact, offering significant growth potential in a company that's at the forefront of financial technology innovation.

Last updated an hour ago

Responsibilities For Data Engineer

  • Design, build, and maintain robust data pipelines and ETL processes
  • Collaborate with product managers, analysts, and stakeholders to understand data requirements
  • Ensure reliability, availability, and scalability of data systems
  • Implement automated data quality checks and validation processes
  • Troubleshoot data-related issues and implement solutions
  • Create and maintain design documents and documentation
  • Participate in design and code reviews
  • Stay current with emerging technologies and trends in data engineering

Requirements For Data Engineer

Python
Linux
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 3+ years of proven experience as a Data Engineer
  • Proficiency in SQL and Python
  • Proficiency in PySpark, Pandas or other data processing libraries
  • Familiarity with data warehousing concepts and tools
  • Experience with data modeling, schema design, and optimization
  • Experience with AWS or GCP and Unix/Linux systems
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Medical, dental, and vision insurance
  • Annual performance bonus
  • Equity compensation
  • Retirement benefits
  • Paid time off
  • 4-week sabbatical program
  • Career development and training
  • Employee shares options
  • Flexible work environment
  • Comprehensive health and wellness programs

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