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Principal Data Engineer

Company: WeWork
Location: San Francisco
Posted on: July 13, 2018

Job Description:

Principal Data Engineer

We are creating software for physical space that uses data and technology at each point in the building process, such that it can make better sourcing decisions, improve its designs, build faster and smarter, and ultimately improve the lives of the people working within its buildings. Our groundbreaking technologies and dedication to technological innovation are key reasons why WeWork has been able to scale from operating one workspace location to more than 210 in just over eight years.

At WeWork, data sits in the center of our business, providing insights into the effectiveness of our physical and digital product & features. We believe data brings everything together and it is the only way we make decisions.

Data Engineering is a team constantly striving to create an amazing experience for our customers and internal teams. We regard culture and trust highly and believe you will have positive influence in your own way.Responsibilities:



  • Design, architect, build, and launch highly scalable and reliable data pipelines to support WeWork's exponential data growth
  • Consistently evolve data model & data schema based on business and engineering needs
  • Design and implement systems tracking data quality and consistency
  • Design and develop tools supporting self-service data pipeline management

  • Member junior members of the team
  • Maintain relationships with stakeholder teams and participate in product/feature development from data engineering and analytics perspective
  • Promote data-driven culture in all technology teams by organizing/speaking at lunch & learns, architecture committees, guilds, etc

  • Influence the team and entire organization positively by advocating best practices, promoting a data-driven culture

  • Collaborate closely with Analytics and Data Science, as well as cross-functional teams, to leverage huge amounts of WeWork data, for data-driven business and user behavior insight.


    Requirements:





    • 10+ years of experience in data engineering
    • Strong background in data warehouse concept and design
    • Proficient in at least one of the SQL languages (MySQL, PostgreSQL, Sql Server, Oracle)
    • Proficient in at least one of the programming languages (Python, bash, Java, etc)

    • 3+ years of experience in cloud based data warehouse solutions (Snowflake, Redshift, BigQuery)

    • Good understanding of SQL Engine and able to conduct advanced performance tuning
    • Familiar with at least one scripting language (Python, Ruby, Perl, Bash)
    • Experience with Git and the pull request workflow
    • Experience working closely with Analytics/Data Science teams
    • Experience leading / managing full project lifecycles
    • Experience with modern BI tools (Looker, Tableau, etc)


      Bonus Points for:





      • Experience with Scala

      • Experience with Spark
      • Experience with Salesforce and related tools

        Keywords: WeWork, San Francisco, Principal Data Engineer, Engineering, San Francisco, California

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