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Zillow logo
Zillow

Zillow is a leading online real estate marketplace covering the whole spectrum of purchasing, owning, and selling a home. In support of flexible work options an

Senior Software Development Engineer, Big Data

Location

California + 7 moreAll locations: California | Connecticut | District of Columbia | New Jersey | New York | Maryland | Massachusetts | Washington

Posted

108 days ago

Salary

$160.9K - $257.1K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishAirflowJavaPythonScalaApache SparkSQL

Job Description

Senior Software Development Engineer, Big Data

Zillow

• Design and implement scalable data pipelines to collect, process, and store large volumes of critical data from various sources • Provide data reliability and uptime by monitoring and troubleshooting data pipeline performance and scalability to ensure efficient operations • Be a “lazy” engineer - continuously seeking to improve the team’s efficiency by automating repeatable processes • Facilitate engineering discussions with collaborators, customers, partners, and team members from various departments to understand business needs and convert them into technical requirements • Authoritatively translate business use cases into well-thought-out data models that are easy to evolve with the business • Communicate technical concepts effectively to non-technical audiences • Be a bar-raiser for engineering best practices - carefully reviewing specifications, designs, pull requests and providing constructive/helpful feedback to raise the quality of our team’s output • Consistently write high-quality code, refactor, and optimize for better scalability, performance, and readability • Provide leadership within the team and mentor junior engineers

Job Requirements

  • A degree (BS+) in Computer Science or a related field
  • 5+ years of experience building and maintaining data-intensive applications
  • Experience developing sophisticated data pipelines scaling to billions of rows with production quality deployment, monitoring, and reliability and petabyte scale
  • Extensive experience with modern data technologies such as Spark and Airflow
  • Strong proficiency in programming languages such as Python, Java, or Scala
  • Extensive experience with SQL
  • Proven data modeling experience, translating business requirements into clean and easily evolvable data models
  • Excellent interpersonal skills and a passion for collaborating across organizational boundaries

Benefits

  • Equity awards based on experience, performance, and location

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