Data Engineer II, Ad Intelligence

USA - CA - 1200 Grand Central Ave, United States

The Walt Disney Company

The mission of The Walt Disney Company is to be one of the world's leading producers and providers of entertainment and information.

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Job Posting Title:

Data Engineer II, Ad Intelligence

Req ID:

10111064

Job Description:

Disney Entertainment & ESPN Technology

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.

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 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 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, 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 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

#DISNEYTECH

The hiring range for this position in Glendale, California is $104,600 to $140,200 per year, Santa Monica, California is $104,600 to $140,200 per year in Bristol, Connecticut is $104,600 to $140,200 per year, in Seattle, Washington is $109,500 to $146,800 per year. in New York City, NY 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.

Job Posting Segment:

Ad Platforms

Job Posting Primary Business:

AP - Software Engineering

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Glendale, CA, USA

Alternate City, State, Region, Postal Code:

USA - CA - 2450 Broadway, USA - CA - Market St, USA - CT - ESPN North Campus - 383 Middle St, USA - NY - 7 Hudson Square, USA - WA - 925 4th Ave

Date Posted:

2025-02-10
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Job stats:  3  1  0
Category: Engineering Jobs

Tags: Agile Airflow Architecture Big Data Business Intelligence CI/CD Computer Science Confluence Data pipelines Data visualization Engineering Hadoop Java Jira Kinesis Kubernetes Looker Machine Learning Mathematics Microservices NiFi Oracle Pipelines Python R Scala Snowflake SQL Streaming Tableau Terraform Testing

Perks/benefits: Career development Equity / stock options Health care Salary bonus

Region: North America
Country: United States

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