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 were not just referring to the world of wizards dragons and superheroes or even to the wonders of Planet Earth. Behind WBDs 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 whats 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: Bachelors or Masters 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 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 youre 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.