Data Engineer - SF

San Francisco
Business Technology – Business Technology
Full-time
WHO WE ARE
Looker is on a mission to bring better insights and data-driven decisions to every business. Everything we do is aimed at making sure our customers love every aspect of Looker, from our products and technologies to our ease of doing business and our support. We are looking for curiously brilliant individuals to join our team as we reinvent data analytics. Get data-driven and see yourself at Looker.

WHAT WE'VE GOT GOING ON
Looker is searching for a Data Engineer with 5+ years of experience in implementing modern data architectures. With an exciting new round of funding and a new team, you will be a key owner in bringing our infrastructure to the next level. You will be working on one of the biggest greenfield opportunities at Looker: A major overhaul of our data, pipeline, and security architecture, as well as our modeling layer. Looker’s amazing success is just getting started and you will be working for a company that truly values the power of data. Your first projects will include helping to scale our data infrastructure and optimizing our warehouse performance and footprint. You will be working with other engineers and analysts on the Data & Analytics team to support both our internal warehousing efforts and prototyping new best practices for our Professional Services and Customer Love department. 

WHAT WE NEED YOU TO DO

    • Partner on the design the next implementation of our secure, global data architecture
    • Execute engineering tasks with maturity in variety of languages including JVM-based, ruby, and other scripting languages
    • Own medium-to-large size data engineering projects
    • Mentor junior staff by providing opportunities to execute on your engineering agenda
    • Own optimization and monitoring projects for our Massively Parallel Processing (MPP) Database and Pipeline technologies
    • Set standards and create documentation for self-serve data pipeline services supporting core engineering and professional services use cases
    • Work with a variety of AWS, GCP, and Azure technologies
    • Work with stream and queue-based solutions

WHAT YOU BRING TO LOOKER

    • 5+ years experience with Data Warehouse Systems
    • Java and Python experience in production
    • Familiarity with Spark and/or MapReduce
    • Strong familiarity with batch processing and workflow tools such as Airflow, NiFi, Azkaban
    • A strong desire to show ownership of problems you identify and proven ability to empower others to get more done
    • Familiarity with modern BI and exploration tools.
    • Understanding of hardware performance
    • Familiarity with Linux systems
    • Some familiarity with streaming approaches preferred
    • CS Degree preferred
    • Some experience preferred with Node, Ruby, or Scala
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A LITTLE MORE ABOUT LOOKER
Looker is a unified Platform for Data that delivers actionable business insights to every employee at the point of decision. Looker integrates data into the daily workflows of users to allow organizations to extract value from data at web scale. Over 1600 industry-leading and innovative companies such as Sony, Amazon, The Economist, IBM, Spotify, Etsy, Lyft and Kickstarter have trusted Looker to power their data-driven cultures. The company is headquartered in Santa Cruz, California, with offices in San Francisco, New York, Chicago, Boulder, London, Tokyo and Dublin, Ireland. Investors include CapitalG, Kleiner Perkins Caufield & Byers, Meritech Capital Partners, Redpoint Ventures and Goldman Sachs. For more information, connect with us on LinkedInTwitterFacebook and YouTube or visit looker.com.

Looker aspires to be a workplace that is not only free of discrimination, but one that fosters inclusion and belonging. We strongly believe that diversity of experience, perspective, and background lead to a better environment for our employees and a better product for our users. We encourage you to join us in changing the way businesses use data.

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