FAQs
Do we support remote work?
Yes, we support a balanced hybrid work model, allowing employees to work 3 days in the office and 2 days at their choice of either the PayPal office or their home workspace.
What is the primary responsibility of a Data Engineer at PayPal?
The primary responsibility of a Data Engineer at PayPal is to design and develop backend data pipelines using GCP (BigQuery, Bigtable, and Dataproc) and Python, while ensuring security measures, testing, and overseeing production releases.
What qualifications are required for the Data Engineer position?
A bachelor's degree in computer science or an equivalent combination of technical education and work experience is required, along with 3+ years of ETL expertise and experience in GCP Cloud databases.
What programming languages are important for this role?
Python programming is essential for developing and maintaining data pipelines in this role.
Are there any specific tools or technologies required for this position?
Yes, familiarity with GCP (specifically BigQuery and Dataproc), advanced SQL, Jupyter Notebooks, and experience with scheduling jobs using tools like UC4 or Airflow are important.
How does PayPal support employee health and wellness?
PayPal offers valuable benefits and resources to support employees' financial, physical, and mental health, including health and life insurance, as well as a flexible work environment.
Does PayPal promote a culture of diversity and inclusion?
Yes, PayPal is committed to equity and inclusion, providing equal employment opportunities and fostering a diverse workforce that reflects the communities they serve.
What is the work environment like at PayPal?
PayPal offers a supportive and collaborative work environment where employees can engage in design and code reviews, share knowledge, and foster a culture of learning and continuous improvement.
What methodologies are used for project deliveries?
Experience in delivering projects using Agile methodology is preferred for this position.
Is there an opportunity for career growth and development within the team?
Yes, the role provides opportunities for career growth through engagement in various facets of data pipeline development and mentorship opportunities with new team members.