Summer 2020 Data Engineering Intern

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Ref#: 35871
CBS Business Unit: CBS Interactive
Job Type: Paid Intern
Job Location: Fort Lauderdale, FL, US

About Us:
CBS Interactive is the premier online content network for information and online operations of ViacomCBS as well as some of the top native digital brands in the entertainment industry. Our brands dive deep into the things people care about across entertainment, technology, news, games, business and sports. With over 1 billion users visiting our properties every quarter, we are a global top 10 web property and one of the largest premium content networks online.

Check us out on The Muse, Instagram and YouTube for an inside look into 'Life At CBSi' through employee testimonials, office photos and company updates.
Description:

Division Overview:

We are a passionate group providing data needs for all CBS Digital Media properties. This includes CBS, CBSNews, CBS Sports and related Sports Properties. Our team is made up of varying engineering roles including Data, Data Product and Ingestion Engineering. Our team is responsible for driving the CDM data strategy and best practices for data collection, Pipelines, usage and infrastructure. 


Role Details:

The Data Engineer Intern should possess a deep sense of curiosity and a passion for building smarter products based on data, and the ability to communicate data structures and tools throughout the CBS Digital Media organization. This engineer will help supports data pipeline development which includes machine learning algorithms using disparate data sources.  The ideal candidate will also work BI, Research, Engineering and Product teams to implement data-driven plans that drive the business.    



Your Day-to-Day:

  • Works with large volumes of traffic data and user behaviors to build pipelines that enhance raw data. 

  • Able to break down and communicate highly complex data problems into simple, feasible solutions. 

  • Extract patterns from a large datasets and transform data into an informational advantage.

  • Partnering with the internal product and business intelligence teams to determine best approach around data ingestion, structure and storage then, working with team to ensure these are implemented correctly. 

  • Contributing ideas on how to make our data more effective and working with other members of the engineering, BI teams and business units to implement changes. 

  • Early on collaboration with the team on internal initiatives to create strategies that improve company processes.


Logistics
  • Time commitment: full-time, 40 hours per week. 
  • This is a paid internship and can also be for university credit if it meets your university's guidelines
Qualifications:

What you bring to the team: 

You have – 


  • Experience with data management systems, both relational and NoSQL (e.g., HBase, Cassandra, MongoDB)

  • Proficient in Python.

  • Familiarity with SQL skills for MySQL, Postgres and BigQuery to perform common types of analysis

  • Experience with exploratory data analysis using tools like iPython Notebook, Pandas & matplotlib, etc.

  • Strong problem solving and creative-thinking skills.

  • Ability to break down and communicate highly complex data problems as simple, feasible solutions

  • Exceptional written and verbal communication skills, including the ability to communicate technical concepts to non-technical audiences, as well as translating business requirements into Data Solutions

  • Intern must be a student currently enrolled in an accredited college, university or bootcamp

  • Must be at least 18 years old


You might also have – 

  • Experience building and deploying application on a cloud platform (Google Cloud Platform preferred)

  • Experience with full stack application development.

  • Experience with a Python web framework such as Django or Flask.

  • Familiar with version control systems.

  • Can perform statistical analyses using tools such as R, Numpy/SciPy with Python


Additional requirements:
  • Intern must be a student currently enrolled in an accredited college, university or bootcamp
  • Must be at least 18 years old
EEO Statement:
Equal Opportunity Employer Minorities/Women/Veterans/Disabled
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