Data Engineer

Cosm

Los Angeles (CA)

On-site

USD 96,000 - 118,000

Full time

11 days ago
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Job summary

Cosm is a global technology company that brings experiences to life in immersive environments, with an onsite role in El Segundo, CA. This position reports to the data operations team and sits at the intersection of technology and business insights.

You will build and manage data pipelines to support near real-time operations, work with data users and analysts to deliver accurate datasets, expand the data catalog, and apply state-of-the-art techniques for complex workflows.

Qualifications

  • Master’s degree in Computer Science, Data Science, Data Analytics, Software Engineering or related field of study.
  • Master’s degree in computer science.

Responsibilities

  • Build and manage data pipelines to support business operations in near real-time.
  • Work with data users, analysts and other consumers to deliver accurate, timely datasets.
  • Grow data catalog by becoming an expert in new data sources with clear and descriptive documentation.
  • Learn and apply state of the art techniques for managing complex workflows, like incremental data flow.
  • Foster a data driven culture by bringing unique perspective to a dynamic work environment.

Education

Master’s degree in Computer Science, Data Science, Data Analytics, Software Engineering or related field of study
Master’s degree in Computer Science

Job description

Cosm is a global technology company that brings experiences to life in immersive environments. We help our partners create spaces and content that blur the lines of real and virtual across three primary markets: Sports and Entertainment, Science and Education, and Parks and Attractions. Cosm was born from the fusion of some of the greatest innovators in the history of technology. Evans & Sutherland, Spitz, Inc., and Cosm Immersive combined forces to power the immersive experiences of the future as Cosm. Innovation is in our DNA.

Summary

Cosm is a global technology company that brings experiences to life in immersive environments. We help our partners create spaces and content that blur the lines of real and virtual across three primary markets: Sports and Entertainment, Science and Education, and Parks and Attractions. Cosm was born from the fusion of some of the greatest innovators in the history of technology. Evans & Sutherland, Spitz, Inc., and Cosm Immersive combined forces to power the immersive experiences of the future as Cosm. Innovation is in our DNA. The position is onsite in our El Segunda location.

Responsibilities
  • Build and manage data pipelines to support business operations in near real-time.
  • Work with data users, analysts and other consumers to deliver accurate, timely datasets.
  • Grow data catalog by becoming an expert in new data sources with clear and descriptive documentation.
  • Learn and apply state of the art techniques for managing complex workflows, like incremental data flow.
  • Foster a data driven culture by bringing unique perspective to a dynamic work environment.
Requirements
  • Master’s degree in Computer Science, Data Science, Data Analytics, Software Engineering or related field of study is required
  • Master’s degree in computer science.

The annualized base salary range for this position in Los Angeles is $ 106,995/yr.

Hours/Wages: 40 hrs/wk; 9:00 AM to 6:00 PM / $106,995/year

Job site: 888 N. Douglas Street, Suite 400, El Segundo, CA 90245

Cosm is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All applicants must be at least 18 years of age at the time of employment. This requirement is in accordance with applicable federal, state, and local labor laws.

Cosm is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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