Data Engineer

Location-  San Mateo, CA

Job type- Full Time


Our client is the world’s leading car-sharing network, driven to make cities better places to live.

The company is seeking a Data Engineer that will be a leader in efforts in use data about the clients and vehicles, so that the company may continually perfect the experience and support internal operations.


  • Design and create scalable data infrastructure to support real-time analytics
  • Controll data capture, transformation, and pipelines across our production applications and Hadoop cluster
  • Cooperate closely with data scientists and software engineers to deploy and scale machine-learning models into production
  • Support the development of backend and frontend tools serving a variety of internal business processes and customer-facing products
  • Contribute to data architecture and technology decisions with expert understanding of data engineering best practices
  • Use modern software tooling for rapid development, integrated testing, and high performance


  • BS in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience
  • Experience and skill in data technologies, including:
    • Hadoop distributions (e.g. Cloudera, AWS)
    • Data pipelines (e.g. Kafka / Flume, Kinesis / Lambda)
    • Data storage (e.g. HDFS, S3)
    • Data processing frameworks (e.g. Spark, MapReduce)
    • Data querying (e.g. Impala, Redshift, SparkSQL)
    • Programming languages (e.g. Java, Python, Scala)
  • Experience supporting data-driven products, applications, and features
  • Excellent verbal and written communication skills

The Ideal Candidate Has:

  • Experience with data storage and processing at scale
  • Familiarity with geospatial data
  • Be able to learn new tools, frameworks, languages
  • Exposure to various software life cycle tools such as git, JIRA, etc.

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