Data Engineer II - Ad Intelligence

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology Building the future of Disney’s media business:

DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.

Reach & Scale:

The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.

Innovation:

We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

The Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building, enhancing, and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Disney's online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. The Ad Intelligence team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with data and AI across TV and streaming video. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group. This engineering group focuses on big data infrastructure, operational data, audience solution, inventory forecasting, and full funnel measurements as a foundation layer for Disney’s addressable Ad Platforms. The right person for this role should have extensive experience in big data as well as solid expertise in backend services or full stack. Responsibilities Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs.

Build next-gen cloud-based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability, and availability.

Contribute to the best engineering practices, including the use of design patterns, CI/CD, code review, and automated testing.

As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation, and testing.

Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment.

Day-to-Day technical operations of the Data & BI channel.

Ensure monitoring and alerting on production services are in place and be available on-call for production incidents.

Triage and troubleshoot operational issues, run point on escalations, and provide Tier 2/3 support.

Deliver on channel-specific key performance metrics (KPM) to track channel health and growth.

Develop strong partnerships with ad sales, business intelligence, engineering, product management, and analytics leaders to drive focus on strategic and tactical channel objectives.

Analyze and communicate the impact of key strategy, market, or product changes.

Basic Qualifications: 3+ years of data engineering experience developing large data pipelines.

Experience delivering products in an agile software development environment including sprint work in Jira.

Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Hadoop, Hive, Oracle, and Snowflake.

Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow.

Expert level knowledge in at least one programming language such as Python, R, Scala, or Java.

Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc.

Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences.

Strong presentation and documentation skills including experience working with Confluence, Power Point, and LucidChart.

Strong analytical and critical thinking skills.

Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations.

Preferred Qualifications: Experience in ad technology, operations, or support, preferably with focus in video advertising technology or digital advertising systems.

Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, etc.

Experience with Druid, Snowflake, Presto, Kinesis, etc.

Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD).

Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team.

Required Education Bachelor’s degree in Computer Science, Information Systems, Applied Mathematics, Electronics Engineering, related technical fields, or equivalent experience.

Additional Information

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