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. The power behind the people building the future. We are the home of the global digital revolution.

Analytics

Developer with subject matter expertise in analytic workstreams and data analysis. You have demonstrated a pattern of independently shipping analytical solutions. Your work powers audience analytics, personalization, and content recommendations for millions of users daily across CNN.If you thrive on owning complex systems end-to-end and care deeply about building reliable, secure infrastructure at scale — this is the role.

Participate in the architectural direction for CNN’s Data Platform — own data modeling, schema design, and platform capabilities that serve Analytics, Data Science, ML, and AI teams Develop, design, and implementation of CNN’s Data Platform for real-time data use cases Mentor junior engineers through code reviews, design sessions, and technical guidance Deliver scalable data pipelines for both real-time streaming and batch processing Drive best practices around security, performance, and reliability for data services Contribute to technical roadmap planning and advocate for improvements to the data platform Deliver high-quality, well-tested code - improve code, documentation,



and operational runbooks with each iteration Communicate designs, architectural decisions, and technical tradeoffs clearly to engineers and leaders at all levels — represent the data platform domain with autonomy You also help drive clarity and define problems proactively. Evangelize and oversee implementation of data engineering best practices — your code, documentation, and operational standards are the model others follow You think about the long-term health of your work, your monitoring, your alerting, and your documentation. You nurture all of these in parallel to your engineer responsibilities. 5+ years of software engineering experience with deep expertise in data engineering, data platform architecture, and large-scale data systems 3+ years of experience with working with Snowflake, Databricks, or other up-to-date enterprise data warehouses Experience with data modeling, ETL architecture, and designing schemas that serve diverse analytical and ML use cases Strong programming experience across at least two of Java, Go, Python,



and SQL Demonstrated experience leading technical direction and influencing best practices Experience working on end-to-end analytics pipelines from event collection to producing business-ready semantics Deep familiarity with dbt or similar transformation frameworks Experience building or supporting AI/ML pipelines, feature stores, or model training infrastructure Familiarity with data governance, data quality frameworks, and data cataloging tools Experience in media, streaming, digital advertising, or consumer-facing products at scale Championing Inclusion at WBD

Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. 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. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required.

Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

📌 Senior Machine Learning / Data Science Developer (Ottawa)
🏢 CNN
📍 Ottawa