Big Data Engineer-Engineer II
Posted on: June 8, 2021
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.
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
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.
is here. We are Sling.
What you’ll be
This role will be responsible for expanding 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
This position 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.
The successful candidate
Create and maintain optimal data pipeline architecture;
Assemble large, complex data sets that meet both functional and
non-functional business requirements;
Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, re-designing
infrastructure for greater scalability, etc.;
Build the infrastructure required for optimal extraction,
transformation and loading of data from a wide variety of data
sources using SQL and AWS ‘big data’ technologies;
Build analytics tools that utilize the data pipeline to provide
actionable insights into customer acquisition, operational
efficiency and other key business performance metrics;
Collaborate 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;
Work with data and analytics experts to strive for greater
functionality in our data systems.
A successful Data Engineer will
A Bachelor’s degree in Computer Science Engineering, Data
Analytics, or a related technical degree.
Five+ years of experience working with distributed data
technologies (e.g. Hadoop, MapReduce, Spark, Kafka, Flink etc) for
building efficient, large-scale ‘big data’ pipelines;
Strong Software Engineering experience with proficiency in at least
one of the following programming languages: Golang, Java, Python,
Scala or equivalent;
Implement data ingestion pipelines both real time and batch using
Experience with building stream-processing applications using
Apache Flink, Kafka Streams or others;
Experience with Cloud Computing platforms like Amazon AWS, Google
Experience supporting and working with cross-functional teams in a
Experience with relational SQL and NoSQL databases, including
Postgres and Cassandra.
Experience with ELK stack.
Ability to work in a Linux environment.
Experience in building distributed, high-volume data
Experience with big data processing and analytics stack in AWS:
EMR, S3, EC2, Athena, Kinesis, Lambda, Quicksight etc.;
Knowledge of data science tools and their integration with data
Experience in container technologies like
Compensation: $64,150.00/Yr. - $100,550.00/Yr.
From versatile health perks to new career opportunities, check out
our benefits on our
Employment is contingent on Successful completion of a
pre-employment screen, which may include a drug test.
Keywords: DISH, Aurora , Big Data Engineer-Engineer II, Other , Aurora, Colorado
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