Senior Software Development Engineer, Big Data

Zillow   •  

Seattle, WA

Not Specified years

Posted 236 days ago

This job is no longer available.

About the role

We are looking for a strong technical contributor with a background in software development to create intelligent, data-driven systems. As a seasoned Software Engineer, you will be responsible for all phases of the development cycle: design, implementation, testing, and release. You will leverage your deep knowledge and experience to provide technical leadership for the team, take ideas from zero to completion, and provide the bridge between raw data and actionable business insights. You will:

  • Architect, build, and maintain highly-scalable ETL pipelines and data-driven systems
  • Work closely with machine learning engineers and data scientists to productionalize analytic solutions
  • Design and implement new data products to support data scientists and business analysts.
  • Design and build infrastructure for our data lake



About the team

We build the pipelines and processesresponsible for daily ingestion of terabytes of data. We productionalize intelligent, data-driven systems to help Zillow capture strategic opportunities in the market. Our work enriches Zillow’s unparalleled livingdatabaseof all homes and hundreds of millions of customers and empowers teams downstream to build analytics tools and products to delight our users.

  • Small team = big impact. Engineering teams are highly decentralized in order to create the small team speed and autonomy of a start-up environment but backed by big company resources.
  • Fast-moving, developer driven organization full of brilliant and ambitious people.

 

Who are you?

  • Deep experience with building and shipping highly scalable distributed systems on cloud platforms (AWS/Azure/GCP) and databasetechnologies (SQL/NoSQL/column-oriented datastores/distributed databases)
  • Experience with the Big Data ecosystem (Hadoop/Hive/Spark/Presto/Airflow)
  • Proven track record of leading and delivering large projects independently
  • Proven ability to learn new technologies quickly
  • A degree (BS/MS+) in Computer Science or a related technical discipline
  • Experience with applied machine learning systems a strong plus