Senior Data Engineer (Scala, Spark, Big Data)

$165,000 - $185,000
|
New York
,
NY

Are you a Senior Data Engineer that wants to work with the most cutting-edge Big Data tools at one of the world's largest media institutions? Find out more below.

 

If you like the idea of working in an innovative, creative, fast-moving environment that lives and breathes data using the newest tools, then keep reading!

 

What's the Job?

 

You will be utilizing the most cutting-edge data tools in the Big Data Community. We are always looking out for the hottest tools to take us forward, and expect you to be exited by exploring new innovations.

 

Our data is consumer in nature, and we are using this large amount of data to make actionable insights and decisions in connection to advertising decisions (in the hundreds of millions of dollars).

 

We get new data feeds in on a daily basis, so you will be working to transform it into a common format, then tee it up for use by our analytics team so they can run off of it, then put it into our pipeline.

 

You will be part of an experienced team in a truly collaborative environment and report directly to our VP. We do stand-ups, we bounce ideas off of each other and want you to be vocal and support your positions.

 

Compensation:

 

• $165,000 - $185,000

• Bonus

• Full Medical, Dental and Vision

• 401(K)

• Stock Options

 

Who Are We?

 

Our division is tasked to oversee advanced advertising sales across all of our properties. We are at the forefront of the industry using the most advanced tools and technologies to ensure we are the best of the best in our area.

 

We are located in Midtown Manhattan and are one of the world’s leading media and entertainment companies in the development, production, and marketing of entertainment, news, and information to a global audience.

 

What Skills Do You Need?

 

• Scala is our preferred language of choice, but Java or Python can also work. We're looking for talented engineers, not tech stacks.

• We use Big Data (like really Big Data) so experience using Spark in production is highly desirable.

• Experience with cloud platforms, preferably AWS.

• A degree in Computer Science or equivalent.

• If you have experience using streaming technologies such as Kafka, and containerization technologies such as Docker, that is definitely a plus.

 

What's In It For You?

 

There aren't many roles where you are expected, and encouraged, to use the latest and greatest technologies out there. This is that role. You will be at the forefront of the industry working with one of the most recognizable media companies in the country.

 

We are big proponents of diversity, and encourage diverse applicants / candidates with diverse backgrounds to apply.

Apply Now

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