Comcast
Engineer 2, Data Engineering
PA - Philadelphia, 1701 John F Kennedy Blvd
Sponsorship not specifiedDetected 11 hours ago
Data StructuresCode ReviewRedshiftDatabricksAWSKubernetesAPI DevelopmentMachine LearningData EngineeringProcess ImprovementCustomer SupportCommunicationCollaboration
About the role
- This job is integral to the development and optimization of data structures and pipelines, ensuring quality and efficient data flow.
- Regular, consistent and punctual attendance.
- Other duties and responsibilities as assigned.
Responsibilities
- Drive results and growth.
- Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role.
- It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Requirements
- Must be able to work nights and weekends, variable schedule(s) as necessary.
Nice to have
- At Comcast, you have the power to connect the world.
- Your career options are endless as you grow in your career.
- You can also explore additional opportunities at our company, NBCUniversal.
Skills
- Please visit the benefits summary on our careers site for more details.
- Certifications (if applicable) Relevant Work Experience 2-5 Years Comcast is an equal opportunity workplace.
- Explore your future with access to a variety of teams, locations, and resources in an expanding network.
Company info
- Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
- Do what's right for each other, our customers, investors and our communities.
- Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
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This listing is sourced directly from Comcast's careers page and normalized into a canonical job model.