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Sr. Full Stack Data Engineer in San Jose at PayPal

Date Posted: 11/19/2018

Job Snapshot

Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 254 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

Simility, a PayPal Service, is an end-to-end fraud management platform helping large merchants, banks, and other Fortune 1000 companies manage fraud and risk. Our systems helps enterprises detect fraudulent events real time and help protect these enterprises from online threats. We do so by creatively harnessing the power of data, machine learning and humans and be on the cutting edge of fraud detection techniques and algorithms. Simility welcomes big thinkers and passionate team players, who are ready to take their career to the next level.

Simility is looking for Sr. Full Stack Data Engineer to help enhance and scaling our fraud management platform. Experience working on data pipelines, backend infrastructure, and other full stack technologies is desirable. Additional skill sets include familiarity with technologies like NoSQL, BigData and KV stores, Streaming, Caching, Data warehousing, Graph Databases and in-memory data processing.  

Roles and Responsibilities: 

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing data infrastructure for greater scalability, etc. 

  • Work with large volumes of data; writing pipelines to extract and manipulate large datasets 

  • Work closely with Data science team to automate different Machine Learning workflows and assist with data infrastructure needs 

  • Be the leader in enhancing existing infrastructure and internalize latest innovation in technologies like in-memory, Graph and GPU DB, realtime OLAP, timeseries analysis et. al. 

  • Provide technical leadership and mentoring to engineers  

  • Be a self-driven individual contributor and strive to excel in a fast-paced, dynamic environment 


We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, 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, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.

R0039060

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