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REMOTE Data Engineer, Analytics

10372

Los Angeles, CA, US, 90038

Administrative
Los Angeles
Full-Time

Founded in 1912, Paramount Pictures works with the entertainment industry’s biggest filmmakers and brightest stars to produce and distribute entertainment around the world. The iconic Paramount logo has opened some of the most successful and beloved films in cinematic history, including timeless classics such as Sunset Boulevard, The Godfather, Forrest Gump and Ferris Bueller’s Day Off; and blockbuster franchises such as Star Trek, Transformers, and Mission: Impossible. Recent innovative break-out films such as A Quiet Place and Rocketman have further elevated  Paramount’s film legacy. On the small screen, Paramount Television Studios’ Defending Jacob, 13 Reasons Why, The Haunting of Bly Manor, The Alienist: Angel of Darkness, Made for Love and Tom Clancy’s Jack Ryan have also been thrilling audiences. With a beautiful 65-acre lot in the heart of Hollywood, a worldwide network of offices and a culture of engagement, Paramount’s passionate employees ensure the studio continues to deliver creativity and innovation to a dynamic industry. Paramount is a subsidiary of ViacomCBS, which reaches 700 million global subscribers through MTV, Nickelodeon, Comedy Central, BET and other media networks.

 

Under the mentorship of the Manager of Global Data Architecture, this role will be responsible for growing and optimizing the studio’s data and data pipeline architecture, as well as optimizing data flow and collection. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing existing data systems and building new ones from the ground up! The Data Engineer will support the cross-functional analytics team – which is comprised of executives, data analysts, and data scientists – across multiple initiatives and will ensure efficient data delivery is standardized across the team’s data warehouse. The ideal candidate is hard-working and excited by the prospect of optimizing, owning, and growing the team’s data architecture to support the studio’s ongoing data projects and data product development! More specifically, these responsibilities include, but are not limited to:
 

  • Crafting and maintaining efficient data pipeline architecture
  • Assembling large, complex data sets that meet functional / non-functional business requirements
  • Identifying, crafting, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Building the infrastructure required for efficient extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
  • Working with technical and non-technical stakeholders to assist with data-related technical issues and support their data infrastructure needs
  • Working with the team to strive for clean and meaningful data, and greater functionality and flexibility within the team’s data systems
     

Basic Qualifications:
 

  • 2+ years of experience in a data engineering role
  • Advanced working SQL knowledge, query authoring, and experience working with relational databases
  • Proficiency with object-oriented/object function scripting languages: Python, Java, etc.
  • Experience with big data tools: Snowflake, Hadoop, Spark, etc.
  • Experience with data pipeline and workflow management tools: Informatica, Airflow, etc.
  • Experience with AWS cloud services
  • Experience building, maintaining, and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Experience cleaning, testing, and evaluating data quality from a wide variety of ingestible data sources
  • Design processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Experience with manipulating, processing, and extracting value from large, disconnected datasets
  • Strong project management and organizational skills
  • Experience supporting and working with cross-functional teams in a dynamic environment
     

Preferred Qualifications:
 

  • Completed coursework, certification(s), and/or demonstrable ability to display data engineering expertise
  • Experience working in an agile environment.
  • Experience with a stream-processing system: Snowpipe, Spark-streaming, etc.
  • Experience working with stakeholders and analysts who use Tableau

 

 

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. 

Paramount believes in creating environments that allow our primary focus to remain on providing entertainment, education and information to our millions of viewers around the world. As part of this commitment to health and safety, Paramount requires COVID-19 vaccines for current U.S. employees, including all newly hired employees, subject to applicable law. Union employees are subject to the agreement reached between the Company and the applicable Union.


Nearest Major Market: Los Angeles