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WeWork is transforming buildings into beautiful, collaborative workspaces for creators.
 
Engineering, Full Time    San Francisco    Posted: Tuesday, November 27, 2018
 
   
 
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JOB DETAILS
 

Data is at the core of our business, providing insights into the effectiveness of our products & enabling the technology that powers them. We build & operate the platform used by the rest of the company for streaming & batch computation & to train ML models. Were building an ecosystem where consumers & producers of data can depend on each other safely. We thrive to build high quality systems we can be proud to open source & an amazing experience for our users & ourselves. We regard culture & trust highly & are looking forward to welcoming your contribution to the team.

If youre passionate about building large scale data processing systems, & you are motivated to make an impact in creating a robust & scalable data platform used by every team, come join us. You will jump into an early stage team that builds the data transport, collection & orchestration layers. You will help shape the vision & architecture of WeWork's next generation data infrastructure, making it easy for developers to build data-driven products & features. You are responsible for developing a reliable infrastructure that scales with the companys incredible growth. Your efforts will allow accessibility to business & user behavior insights, using huge amounts of WeWork data to fuel several teams such as Analytics, Data Science, Sales, Revenue, Product, Growth & many others as well as empowering them to depend on each other reliably. You will be a part of an experienced engineering team & work with passionate leaders on challenging distributed systems problems.

Responsibilities

  • Building & operating large scale data infrastructure in production (performance, reliability, monitoring)
  • Designing, implementing & debugging distributed systems
  • Thinking through long-term impacts of key design decisions & handling failure scenarios
  • Building self-service platforms to power WeWorks Technology

Requirements

  • Experience with one or more of the following languages & functional programming in general: Scala, Haskell, Java, JavaScript
  • Experience with one or more of the following technologies:
  • Distributed logging systems (Kafka, Pulsar, Kinesis, etc)
  • Stream processing. Flink, Spark, Storm, Beam, etc
  • Batch processing: Spark, Hadoop,
  • IDL: Avro, Protobuf or Thrift
  • MPP databases (Redshift, Vertica, )
  • Query execution (Columnar storage, push downs): Hive, Presto, Parquet, ...
  • Workflow management (Airflow, Oozie, Azkaban, ...)
  • Cloud storage: S3, GCS, ...
  • Understanding of distributed systems concepts & principles (consistency & availability, liveness & safety, durability, reliability, fault-tolerance, consensus algorithms)
  • Eager to learn new things & passionate about technology

Bonus points:

  • Experience with contributing to open source software
  • Experience with the following Cassandra, DynamoDB, RocksDB/LevelDB, Graphite, StatsD, CollectD

Critical Competencies for Success

  • Focused on team over individual achievements.
  • Building software incrementally & make consistent progress.
  • You love to learn. mentor & teach others.
  • Empathetic, you build long-lasting relationship characteristic of highly efficient teams.
  • You keep up-to-date with the latest developments in the field.

We are an equal opportunity employer & value diversity in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 
 
 
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