Software Engineer – Data Engineering (Hybrid )

Company: PayPal

Experience: 2–5 Years (1+ years minimum considered)

Description

Essential Responsibilities:

• Carries out tasks within the Software Development Lifecycle (SDLC), with guidance and support from more experienced staff
• Follows well-established internal rules and standard steps
• Understands internal standards and processes and uses them to make technical decisions
• Works with peers, manager, and project lead to understand tasks and review solutions
• May take part in code and design reviews

Minimum Qualifications:

• 1+ years of relevant experience and a Bachelor’s degree, OR any equal mix of education and experience

Additional Responsibilities & Preferred Qualifications:

Your Way to Impact

2–5 years of experience in software engineering, ideally in data engineering or data platforms. Strong skill in Python and SQL, with hands-on experience building and maintaining fully working data pipelines. Experience working in a cloud-based environment (GCP, AWS, or Azure) with some exposure to modern data platforms. Familiarity with workflow scheduling tools such as Apache Airflow. Experience with BigQuery or similar data warehousing technologies. Good understanding of software engineering best practices, including version control (Git), code reviews, testing, and CI/CD. Experience working with organized and unorganized data at scale, supporting analytics and reporting needs. Ability to fix issues, improve performance, and keep data pipelines reliable. Strong problem-solving skills with the ability to balance quality and delivery deadlines. Good communication skills, able to work well with different teams. Some exposure to AI-assisted development tools to boost productivity while keeping code quality and security standards. Experience in financial services or other regulated industries is a plus.

Your Day to Day

• Design, build, and maintain fully working data pipelines using Python and SQL
• Build and support workflow scheduling (e.g., Apache Airflow / Cloud Composer) for scheduled and event-based data processing
• Work with BigQuery (or similar) to build scalable data warehousing solutions that support analytics and reporting
• Bring in and process data from internal systems and outside partners/vendors, including data from new regions
• Set up data quality checks, monitoring, and alerts to keep pipelines reliable and data accurate
• Fix production issues, improve query and pipeline performance, and make sure service-level agreements (SLAs) are met
• Work with different teams (Product, Risk, Credit Modeling, Compliance, Platform) to turn business/data needs into technical solutions
• Follow software engineering best practices — version control, code review, automated testing, and CI/CD
• Use AI-assisted development tools responsibly to boost productivity while keeping code quality and security standards
• Support proper data handling practices suited to a regulated financial services setting

What Do You Need to Bring

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
• 2–5 years of experience in software engineering, ideally with some exposure to data engineering or data platforms
• Strong skill in Python and SQL, with hands-on experience building and maintaining fully working data pipelines
• Experience working in a cloud-based environment (GCP, AWS, or Azure) with some exposure to modern data platforms
• Familiarity with workflow scheduling tools such as Apache Airflow
• Experience with BigQuery or similar data warehousing technologies
• Good understanding of software engineering best practices, including version control (Git), code reviews, testing, and CI/CD
• Experience working with organized and unorganized data at scale, supporting analytics and reporting needs
• Ability to fix issues, improve performance, and keep data pipelines reliable
• Strong problem-solving skills with the ability to balance quality and delivery deadlines
• Good communication skills, able to work well with different teams
• Some exposure to AI-assisted development tools to boost productivity while keeping code quality and security standards
• Experience in financial services or other regulated industries
• Some exposure to data quality frameworks (e.g., Great Expectations, Soda Core) or custom data-quality tools
• Experience with credit, risk, or financial reporting data areas
• Familiarity with moving old scheduling tools (e.g., UC4/Control-M) to Airflow/Cloud Composer

Subsidiary: PayPal
Travel Percent: 0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When applying directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a warning sign and likely part of a scam. All communication about your application will come from official PayPal email addresses. If you suspect fraud, please report it right away.

For most employees, PayPal’s balanced hybrid work model offers 3 days in the office for effective in-person teamwork and 2 days at your choice of either the office or home, so you get the benefits of both.

Our Benefits:
At PayPal, we’re committed to building a fair and inclusive global economy. And we can’t do this without our most important asset — you. That’s why we offer complete, choice-based programs to support all parts of personal wellbeing — physical, emotional, and financial — delivering real value where it matters most. We aim to create a flexible, balanced work culture with a well-rounded approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to build financial security and support your mental health.

Who We Are:
Learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal offers equal employment opportunity to all people regardless of age, colour, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, public assistance status, veteran status, or any other characteristic protected by law. PayPal will also provide reasonable support for qualified individuals with disabilities. If you can’t submit an application due to incompatible assistive technology or a disability, please contact us.

Belonging at PayPal:

Our employees are central to our mission, and we aim to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace where all employees feel accepted, secure, included, and valued. We are proud to have a diverse workforce that reflects the merchants, customers, and communities we serve, and we keep taking real action to build inclusivity and belonging at PayPal.

We know self-doubt and imposter syndrome can get in the way of meeting great candidates. Please don’t hesitate to apply.