Senior Data Engineer

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Your New Role:

The Sr Data Engineer is accountable for designing and delivering scalable, cloud-native solutions that power our advertising technology stack.

Your Role Accountabilities:

Data Engineering

Design and implement ETL pipelines and real-time data processing for ad performance, forecasting, and yield optimization.

Work with big data frameworks (Spark, Kafka) to handle large-scale data sets Proficiency in:

One language: Python, SQL, Java, Scala

Big Data Technologies: Apache Spark, Kafka, Flink, Database, Data warehouse, Data Lake

Data Modeling

Cloud platform: AWS, Azure, GCP, DevOps tool

Software Development & Integration

Build and maintain services for ad-serving, campaign management, and identity systems. Develop APIs and integrations with third-party AdTech partners and data providers.

Platform Modernization Contribute to migration of legacy systems to modular, cloud-native architectures. Implement observability, security, and compliance best practices, system design.

Collaboration & Technical Guidance

Partner with product and operations teams to align technical solutions with business goals. Share best practices and mentor junior engineers when needed.

Qualifications & Experience

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Engineering Expertise: 5+ years in software engineering, with exposure to AdTech or large-scale distributed systems.

Hands-On technical experience: Hands-on expertise with Java, Scala, or Python, JavaScript, SQL and NoSQL databases, big data tools (Spark, Kafka) and streaming architectures. Experience with cloud platforms (AWS/GCP/Azure).

AdTech Domain Knowledge: Familiarity with advertising workflows including forecasting, yield optimization, identity, and campaign execution.

Collaboration & Mentorship: Demonstrated ability to partner with data scientists, product, and platform engineering, while mentoring junior engineers.

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.