DISH

  • Data & Software Engineer

    Location US-CO-Englewood
    Job ID
    2018-44067
    Category
    Information Technology
  • Summary

    DISH is a Fortune 200 company with more than $15 billion in annual revenue that continues to redefine the communications industry. Our legacy is innovation and a willingness to challenge the status quo, including reinventing ourselves. We disrupted the pay-TV industry in the mid-90s with the launch of the DISH satellite TV service, taking on some of the largest U.S. corporations in the process, and grew to be the fourth-largest pay-TV provider. We are doing it again with the first live, internet-delivered TV service – Sling TV – that bucks traditional pay-TV norms and gives consumers a truly new way to access and watch television.

     

    Now we have our sights set on upending the wireless industry and unseating the entrenched incumbent carriers.

     

    We are driven by curiosity, pride, adventure, and a desire to win – it’s in our DNA. We’re looking for people with boundless energy, intelligence, and an overwhelming need to achieve to join our team as we embark on the next chapter of our story.

     

    Opportunity is here. We are DISH.

     

     

    To learn more about our IT organization please visit http://explorethefuture.dish.com

    Job Duties and Responsibilities

    Primary Responsibilities:

    • Working alongside data scientists and other software and data engineers within a full-stack team to design, build and deploy modern machine learning applications
    • Establish technical foundations & best practices for software development and data management to meet the needs of large-scale data science projects
    • Implement data pipelines, Micro-service APIs and machine learning models in a cloud-native environment using Python, Java/Scala, Spark, Hadoop, Docker and related technologies

    Skills - Experience and Requirements

    A successful Data Scientist should have the following:

     

    • Experience with Agile software development practices
      • Software delivery automation (CI/CD)
      • Cloud-native technologies and containers (e.g., Docker)
      • Test-Driven Design (TDD)
    • Solid foundation in algorithms and data structures
    • Expertise in Big Data technologies like Spark, Hadoop etc.
    • Expertise with relational databases and SQL
    • AWS and cloud-native applications experience a big plus
    • Experience with programming languages like Python, Java, Scala etc.
    • Experience with NoSQL databases such as HBase/Cassandra, MongoDB, Neo4j etc. is a must.
    • Experience using streaming data processing (Kafka, Kinesis, Spark-Streaming, Reactive-X frameworks) is a plus
    • Familiarity with in-memory data stores such as Redis, Memcached or Gemfire/Geode is a plus
    • As this position will be with the data science team, some experience with data analytics, machine-learning, predictive models is a plus

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