Warner Bros. Discovery

Senior Data Engineer

Warner Bros. Discovery

full-time

Posted on:

Location Type: Hybrid

Location: Atlanta • United States

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Job Level

Senior

Tech Stack

CloudDynamoDBGoJavaKafkaPostgresPythonTerraform

About the role

  • Optimize Site Performance: Dynamically deliver personalized content alongside cached assets, improving load times and enhancing user experience with features like page-level deduplication
  • Enhance Data Access: Continue to evolve our pipelines to ensure the timeliest access to instrumentation and content data for feature and model development
  • Accelerate Experimentation: Partner with our Data & Analytics organization to improve the tooling and coordination involved in A/B testing
  • Support Engineering with Foundational Models: As tools like Bedrock emerge, enhance our platform to support them, ensuring we’re prepared for the next generation of AI-powered applications
  • Work closely with ML engineering to make data easily accessible and understandable
  • Ensure the reliability and minimize the latency of data delivery for ML use cases
  • Create transparency in our data pipelines with comprehensive telemetry
  • Develop and enforce data engineering, security, data quality standards through automation
  • Collaborate with other engineers to develop and enhance core capabilities, infrastructure, and architecture
  • Leverage vended and open-source cloud technologies to reduce maintenance costs and improve efficiencies, ensuring our products remain profitable
  • Ensure that code is readable, maintainable, scalable, observable, and resilient
  • Independently own and execute on projects within your squad
  • Collaborate effectively with engineers across the team to deliver projects scale and integrate ML and AI features into the website, mobile app, and editorial tools
  • Contribute to the design of components and systems and represent your thoughts in architecture reviews
  • Be responsive to incidents and participate effectively in incident retrospectives
  • Champion improvements to developer experience, integrations, and testing processes
  • Support, coach, mentor, and provide valuable feedback to junior engineers on your squad

Requirements

  • 5+ years progressively complex experience designing, building, and shipping products
  • 3+ years experience in data engineering roles or backend roles with a data focus
  • 2+ years experience building data pipelines with IaC
  • 2+ years experience with Python
  • 2+ years experience in one of Golang, Java, C++
  • 2+ years experience with Kafka or equivalent
  • Proficiency with Postgres or equivalent
  • Proficiency with DynamoDB or equivalent
  • Proficiency with Terraform or equivalent
  • Deep understanding of common software data structures and algorithms and experience in modern data engineering technologies and best practices
  • A proven track record of building real-time products for web scale that are highly available and performant
  • A collaborative mindset, understanding that great results come from teamwork and a positive culture
Benefits
  • Career defining opportunities
  • Thoughtfully curated benefits
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata pipelinesPythonGolangJavaC++KafkaPostgresDynamoDBTerraform
Soft Skills
collaborative mindsetteamworkcoachingmentoringcommunicationproblem-solvingincident responsefeedbacktransparencyproject ownership