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Big Data Platform Lead at PayPal (San Jose, CA)

The Data Platform Engineering Team is looking for a highly talented, self-driven, proven software engineer to help design and build core data services that deal with big data (>90PB) at low latency (i.e. sub-second) for a variety of use-cases spanning near-real time analytics and machine intelligence.

You will have significant responsibility and influence in shaping the future of big data platform engineering at PayPal. This position involves hiring and leading a data engineering team to develop the large-scale data warehouse, ETL pipelines and analytical solutions using modern big data technologies on big data ecosystem.

Successful candidates will have strong leadership, engineering skills, and communication, as well as a belief that data-driven processes lead to great products.


  • Be hands-on in leading and performing development work during the production cycle.

  • Design and develop data structures that support high performing and scalable analytic applications.

  • Work closely with Data science to integrate amazing innovations and algorithms into data lake systems.

  • Think out of the box - don't be afraid to innovate!

  • Co-develop & follow best practices related to SDLC (Software Development Life Cycle) & agile methods to raise the level of automation and quality in our code repositories

  • Embrace open-source – either by using it, extending it, or inventing new projects.

  • Share your work with the world-at-large via authoring blogs & articles, contributing to open source projects, and by speaking internally (and external to PayPal).

  • Mentor colleagues in order to help develop strong coding practices and standards across the organization.


  • Proficient in one or more of Java, Scala, Python, and Go is required. Scala is preferred.

  • Proficient and strong real-world experience with one or more of the following technologies at scale is required:

    • Stream processing ecosystem (e.g. Kafka, Storm, Samza). Kafka is preferred.

    • Hadoop ecosystem technologies (e.g. Yarn, HDFS, Presto, Spark, Flink, Beam). Spark/Flink is preferred.

    • NoSQL/Document/OLAP (e.g. Hbase, Cassandra, Aerospike, Elastic, Druid, Mongo). Hbase/Cassandra/Aerospike is preferred.

  • Outstanding architectural and implementation skills are required

  • Experience in developing large-scale data platforms and analytic systems is required. Ability to understand and explain complex systems.

  • SQL experience is required.

  • Any open-source contribution or external conference talk is definitely a plus.

Basic Qualifications:

10 -12 years of industry experience. 5+ years of experience in building and managing highly scalable, reliable, available, resilient, distributed and parallel computing systems.

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.

by via developer jobs - Stack Overflow

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