Job Location: New York, NY
**This is a 100% remote job opportunity**
Showtime Networks Inc. (SNI), a wholly owned subsidiary of Paramount, owns and operates the premium service SHOWTIME®, which features critically acclaimed original series, provocative documentaries, box-office hit films, comedy and music specials and hard-hitting sports. SHOWTIME is available as a stand-alone streaming service across all major streaming devices and Showtime.com, as well as via cable, DBS, telco and streaming video providers. SNI also operates the premium services THE MOVIE CHANNEL™ and FLIX®, as well as on demand versions of all three brands. SNI markets and distributes sports and entertainment events for exhibition to subscribers on a pay-per-view basis through SHOWTIME PPV®. For more information, go to www.Sho.com .
Our team
The Showtime Product team is looking for an experienced, curious, and creative Senior Data Engineer to help us pursue answers to our increasingly interesting and complex business questions and empower our team to incorporate data-driven features and machine learning into our products, which include our standalone service SHOWTIME and our TV Everywhere service, Showtime Anytime.
In this role, you will be an integral part of our data engineering team and collaborate with our dedicated Product Analytics team, the Showtime Research and Data Strategy teams, and our in-house backend and front-end engineering groups. You will work with the rest of the data team to design solutions and develop technologies, systems, and workflows that enable our analysts and data scientists to focus on algorithms and analyses rather than on the associated engineering. The right person for this role will be innovative, self-motivated, quick to study, and willing to develop new skills while constantly improving existing abilities! Day-to-Day
Develop an understanding of key business, product, and user questions.
Collaborate with other Product Engineers to develop, test, and support data-related initiatives. Work with other teams to understand their data needs
Design, build and contribute to multi-step data and recommendations/personalization pipelines that we can rapidly iterate as our needs change and capabilities grow
Evolve data-dependent feature prototypes into production features that scale
Update batch pipelines to micro-batch or real-time
Streamline feature engineering, so that the underlying data is efficiently extracted Basic Qualifications
3+ years of experience in a comparable data engineering role
Expert-level knowledge of SQL/Spark SQL
You have experience with technologies like Scala, Spark, AWS, AWS/EMR, Java, Kafka, Groovy, Spring, Mongo, Git, Redis, Bamboo, JIRA, etc. Additional Qualifications:
You like to dive deep into data questions to come up with effective solutions
You believe in writing code that is easy to understand, test, and maintain
You thrive in a workplace that values autonomy applauds ideas, and enjoys a sense of humor
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to viacomaccommodations@viacom.com. Only messages left for this purpose will be returned.
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