Company Name:-
DISH

Job Location:-
American Fork, UT 84003

Job Summary:-
Job detailsSalary$99,360 a yearFull Job DescriptionSling TV L.

L.

C.

provides an over-the-top (internet delivered) television experience on TVs, tablets, gaming consoles, computers, smartphones, smart TVs and other streaming devices.

Distributed across a variety of strategic device partners, including Google, Amazon, Apple TV, Microsoft, Roku, Samsung, LG, Comcast, 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, NBC, AMC, A&E, EPIX, NFL Network, NBA TV, NHL Networks, Pac-12 Networks, Hallmark, Viacom, and more.

For Spanish-speaking customers, Sling Latino offers a suite of standalone and extra Spanish-programming packages tailored to the US 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 Sling TV is a next-generation service that meets the entertainment needs of today’s contemporary viewers.

Visit www.

Sling.

com.

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 Sling.

Sling (DISH) is looking for a Data Engineer responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business

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