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, ABC, 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 www.Sling.com.
Big Data Infrastructure Engineer
Are you a driven, hands on technology generalist with a strong bias to action, excellent analytical skills, and a taste for good engineering? Are you currently working in high scale, zero downtime Kafka, ElasticSearch, Cassandra and or Spark Environment? Are you looking for new complex challenges that vary daily? If so, we are looking for a new member to join our team here in American Fork, UT or Englewood, CO to help us push our systems, processes & culture to the next level. Come be a part of changing the face of TV!
The BigData & Analytics team is responsible for reliably ingesting high-volume streams of data from multiple systems, enriching that data, processing it and providing real-time queries, visualizations, insights, alerts, and other features from it. As SlingTV Platform grows in functionality and complexity, the BigData & Analytics’ team is responsible for providing services, infrastructure for visualization and machine learning over the different streams of data generated by the multiple components of the platform. To maintain and manage these data streams, we have developed a scalable platform that relies on Kafka, Elasticsearch, Cassandra and Greenplum Data warehouse. We are also in the initial stages of building an Apache Hadoop cluster for new machine learning processes running Apache Spark.
Primary responsibilities and skills include the following areas:
A successful Big Data Infrastructure Engineer will have: