Sr. 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.

Overview

Our Global Technology & Operations - Business Systems Team is adding two Sr. Data Engineers to the team. These roles will partner with a fast-paced team to design and deliver senior-level data technology solutions that enable actionable insights and support the development of next-generation digital products and strategies. The positions also contribute to building and optimizing internal data pipelines to advance the organization's digital data strategy.

Role & Responsibilities:

• Analyze brand and enterprise data warehouse and reporting requirements to inform data architecture, modeling, and design decisions.

• Design and implement scalable ETL/ELT processes, database queries, and data access models to support reliable data aggregation and insight delivery.

• Develop high-quality, efficient, and maintainable code that meets business and technical requirements.

• Demonstrate a continuous learning mindset and proactively adopt improvements in daily engineering practices.

• Deliver end-to-end JIRA user stories in alignment with team quality standards.

• Collaborate with cross-functional and matrixed teams, including Operations, Technology, PMO, Product, and Data Strategy/Insights, to design, build, test, and deploy data warehouse solutions and reporting tools.

• Perform ad hoc data analysis across multiple datasets to support various business units.

• Participate in quality assurance testing for data pipeline initiatives and enhancements to analytics platforms.

• Bachelor's degree in computer science or similar discipline.

• 5+ years of experience in software/data engineering.

• Proficiency in one of the modern programming language JavaScript/TypeScript, React.js, Node.js, and Python.

• Experience with backend frameworks like Express.js, Django, or FastAPI.

• Strong understanding of RESTful APIs, GraphQL, and microservices architecture.

• Advanced working SQL knowledge and experience working with big data platforms e.g. Snowflake, Databricks.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Experience building and optimizing 'big data' data pipelines, architectures, and data sets.

• Experience with AWS cloud services - Athena, Quick sight, Kinesis, Lambda, IAM Policies.

• Experienced in software delivery through continuous integration (for example git, bitbucket, Jenkins, etc.).

• Experience with data pipeline and workflow management tools e.g., airflow.

• Experienced with Atlassian Suite (JIRA, Confluence).

• Strong familiarity with CI/CD pipelines is essential for automating testing and deployment processes to ensure efficient and reliable software delivery.