DISH

  • Data Engineer II

    Location US-WY-Cheyenne | US-CO-Englewood
    Job ID
    2018-44998
    Category
    DT Uplink Management
  • 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 launch of 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 have a bold sense of pride, adventure, and desire to win – it’s in our DNA.  And 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.

    Job Duties and Responsibilities

     

    DISH Technologies is seeking an innovative and passionate Data Engineer to join a DevOps agile team that provides analytical and operational data, design, and visualization. This team uses the scaled agile methodology to create a team-driven culture via ceremonies such as big room planning, demos, innovation days, and retrospectives. This position is an opportunity to design, develop, and contribute to the overall engineering design of complex, real-time, mission critical environments that will propel the digital TV and movie delivery industry into the future.

    Primary responsibilities fall into the following categories:

    • Develop high-volume, low-latency, data-driven solutions utilizing current and next generation technologies to meet evolving business needs
    • Promote a risk-aware culture, ensure efficient and effective risk and compliance management practices by adhering to required standards and processes
    • Design, develop, tune, deploy and maintain information systems, advanced data analytics, and text mining models and physical data persistence technologies
    • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader 

    #LI-PC1

    Skills - Experience and Requirements

    A successful Data Engineer will have the following:

    • BS degree in Computer Science, Computer Engineering, or a related technical degree; 4 or more years related experience; or equivalent combination of education and experience.
    • Experience with integration, and analysis of data from multiple sources using tools like: Hive, Impala, Rstudio, Splunk, etc.
    • Experience with designing and querying databases using one or more of the following: MySQL, MS SQL, Oracle, or other professional database system. 


    Preferred Qualifications:

    • 4 or more years of experience in programming and software development with Python, Perl, Java, and/or other industry standard language
    • 2 or more years of experience with Hadoop big data, machine learning and statistical modeling.
    • 1 or more years of experience with using the R statistical computing language.
    • 1 or more years of experience with Agile at Scale, SAFe, and Lean Systems Engineering
    • Proficient understanding of distributed computing principles
    • Ability to work in teams and collaborate with others to clarify requirements, quickly
    • identify problems, and collaboratively find creative solutions
    • Ability to assist in documenting requirements as well as resolve conflicts or ambiguities
    • Highly developed written and verbal communication skills


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