Data Engineer II - Ad Intelligence

On any given day at Disney Entertainment & ESPN Product & 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 Product & Technology:

• Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

• Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. 

• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Ad Platforms organization within Disney Entertainment and ESPN Product & Technology is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Disney 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 on bigdata as well as solid expertise on 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 test

• 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 relevant data science, Business Intelligence, or data analytics experience working with 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 Aurora, 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, 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, and etc.

• Experience with ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, etc.

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

• Experience using data analytics to triage and troubleshoot advertising workflows

Required Education:

• Bachelor’s degree in Computer Science, Data Analytics or Science, Applied Mathematics, Statistics, related technical fields, or equivalent experience

Additional Information

#DISNEYTECH

The hiring range for this position in Glendale, California is $104,600 to $140,200 per year, in Seattle, Washington is $109,500 to $146,800 per year, and in San Francisco, California is $114,500 to $153,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.