Data Engineer

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

We are looking for a senior data engineer to join our Venmo team. You will play a pivotal role in understanding and translating business needs into data-driven solutions. You will work closely with stakeholders and data scientists to gather requirements, analyze data, design systems and build ETLs that enhance data management, reporting, and analytics. Your expertise will help optimize business performance through data insights and innovative solutions.

Job Description:

Key Responsibilities Include:

• Collaborate with business stakeholders and Data Scientists to understand their data needs and objectives.
• Document detailed requirements for data systems, including data sources, structures, and reporting needs.
• Ability to reverse engineer SQL code to document business, data transformation logic.
• Conduct gap analyses to identify and address inconsistencies or deficiencies in current data systems.
• Build ETLs to make data available in an efficient manner
• Design efficient and scalable data models and schemas to support self-service analytics and BI/reporting.
• Develop data mapping and transformation rules for data migration or integration projects.
• Profile data, monitor and improve data quality, ensuring accuracy, consistency, and completeness.
• Work with engineering team on requirements, test data systems and solutions.
• Perform data analysis to uncover trends, patterns, and insights that drive business strategies.

Basic Requirements:

• 7+ years of experience in the IT industry, experience in Data Technology space is preferred.
• Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions.
• Strong programming skills in SQL, Python; experience in non-SQL databases is a plus.
• Ability to understand (sometimes design), interpret data models, including database schemas, relational databases, and data warehouses.
• Familiar with big data stack, knowledge of google cloud platform
• Familiar with data movement techniques and best practices to handle large volumes of data
• Experience with data warehousing architecture and data modeling best practices
• Work independently, comfort with ambiguity, and ability to deliver within strict time frames.
• Strong organizational skills, and the ability to prioritize multiple concurrent tasks.
• Team oriented individual and self-starter who excels at learning new processes and business functions.
• Strong