• Data Visualization Engineer

    Location US-CA-Foster City
    Job ID
    Software Engineering
  • Summary

    Sling TV L.L.C. provides an over-the-top television experience on TVs, tablets, gaming consoles, computers, smartphones and other streaming devices. Distributed across a variety of strategic device partners, including Google, Amazon, Apple TV, Microsoft, T-Mobile, Sprint, Roku, Samsung, Netflix, and many others, Sling TV offers two primary domestic streaming services that collectively include more than 100 channels of top content. Featured programmers include Disney/ESPN, Fox, NBC, HBO, AMC, A&E, EPIX, Cinemax, Starz, NFL Network, NFL Networks, NBA TV, NHL Networks, Pac-12 Networks, Hallmark, Viacom, Univision, and more. For spanish-speaker customers, Sling Latino offers a suite of standalone and extra Spanish-programming packages tailored to the U S. Hispanic market.  And for those seeking International content, Sling International currently provides more than 300 channels in 20 languages (available across multiple devices) to U.S. households. 


    Sling TV is the #1 Live TV Streaming Service 

    (Based on the number of OTT households as reported by comScore as of April 2017)


    Sling TV is a next-generation service that meets the entertainment needs of today’s contemporary viewers. Visit


    Job Duties and Responsibilities

    Sling Media, a division of DISH Network, is known for inventing the Slingbox, and continues to innovate.

    Here are some areas of business we are working on:

    • SlingTV: This is TV for the new generation that frees customers from the tyranny of cable
    • IoT: DISH owns impressive wireless spectrum and is building a narrow-band Internet-of-Things (NB-IoT) network that will drive new IoT applications.

    Sling Media, in Foster City, CA, is looking for a Data Visualization Engineer who will work closely with the team members to collectively produce insights that can affect change. This output is for the consumption of multiple teams like product, engineering, marketing, operations, and support.


    Primary responsibilities fall into the following categories:

    • Build interactive dashboards, animations and reports showcasing various insights emerging out of the team’s work.
    • Convey complex ideas as data stories in a non-technical way using creative visualizations to assist decision making
    • Communicate with a variety of audiences – data scientists, product managers, marketers, senior management, etc. – by effectively and appropriately using advanced data visualization, presentations, written descriptions etc.
    • Constantly look for and adopt innovative techniques and tools to ensure the team stays at the forefront of data analysis and visualization

    Skills - Experience and Requirements

    If you meet most of the following requirements, you are likely to be a great fit for the position:

    • You have a Bachelor’s or Master’s degree in a quantitative field. You enjoy telling stories with data. In addition to an artistic flair, you have a good grasp of basic statistics and machine learning.
    • Creativity to look for new and innovation ways to transform raw data sets into compelling and meaningful visual illustrations through exploratory data analysis
    • You are an experienced software developer - you are proficient in client-side web programming with JavaScript. You are also comfortable with R/Python, databases and SQL.
    • You possess strong data visualization skills using programmatic tools (e.g. ggplot, matplotlib, Shiny, d3.js) and tools like Tableau.
    • You have at least 2 years of experience working with data and data visualization. You have built interactive dashboards and reports communicating complex ideas to non-technical audience.


    Additional Preferred qualifications:

    • Understanding of motion in the context of data visualization as a support tool for data analysis and pattern recognition
    • You have examples of interesting visualizations you've created for work or fun that you could present us during the interview
    • Experience with data visualization libraries Victory or HIGHCHARTS




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