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Data Engineer

  • Seattle, WA, United States

From $59 USD / hour

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Job details

Pay
From $59 USD / hour
Experience
5+ years of experience building and maintaining data-intensive applications.
Posting language
English
Posted

Original job description

Required Skills & Experience

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 Experience with Databricks 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.

Job Description

Our Agent Software and Advertising organization is seeking a Senior Data Engineer to support the development of next-generation software and advertising products that power the real estate industry. This role will focus on designing and maintaining highly scalable data pipelines, developing robust data models, and enabling data-driven decision making across product, engineering, sales, marketing, operations, and support teams. The ideal candidate will have strong hands-on experience with Spark, Airflow, Python, and SQL, along with a proven track record building large-scale, production-grade data platforms processing billions of rows of data. Experience with cloud platforms and Databricks is highly preferred. Candidates who thrive in collaborative environments, enjoy solving complex business problems, and are passionate about automation, data quality, scalability, and engineering best practices will be successful in this role.

More about this job

Skills

  • Computer science
  • Databricks
  • Apache Spark
  • Apache Airflow
  • Programming languages
  • Python
  • Oracle Java
  • Scala
  • SQL
  • Data modelling
  • Data models
  • Interpersonal skills
  • Decision making
  • Sales

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