Senior Product Software Engineer II

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Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

1. 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.

2. 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.

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

Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.

Job Summary:

We are seeking a skilled and passionate Senior Product Software Engineer I to join our Data Platform Engineering team. You will play a key role in designing, developing, and maintaining scalable, robust, and high-performance data pipelines and infrastructure supporting analytics, reporting, and machine learning workloads. Our environment leverages cutting-edge technologies such as Scala, Spark, Python, Airflow, SQL, Databricks, Snowflake, Hive, Presto, and AWS Big Data tools.

Bonus: Experience in Ad Tech, particularly Linear or Addressable Advertising, is a strong plus. Preferred: Experience supporting Business Intelligence (BI) data platforms, dashboards, and reporting environments is highly valuable.

Responsibilities:

• Design and build scalable batch and streaming data pipelines using Spark, Scala, Python, and Airflow

• Apply core engineering principles including modularity, reusability, scalability, and testability in all code deliverables

• Follow clean code practices and emphasize maintainability and performance

• Optimize performance of ETL/ELT processes in Databricks and Snowflake

• Write efficient SQL queries to transform, validate, and surface large-scale datasets

• Collaborate with Data Scientists, Analysts, and Engineers to deliver production-grade pipelines

• Develop robust unit tests, perform code reviews, and follow engineering best practices

• Troubleshoot data issues, job failures, and performance bottlenecks

• Contribute to documentation and reusable code libraries

• Partner with BI teams to deliver well-modeled data sets optimized for dashboarding and analyst

Basic Qualifications

• Minimum of 4-6 years of relevant data science, Business Intelligence, or data analytics experience – preferably with a digital media or digital advertising company

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

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

• 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. • Languages: Scala, Python, SQL

• Data Processing: Apache Spark, Flink, Airflow

• Platforms & Tools: Databricks, Hive, Presto, Snowflake • Cloud: AWS (S3, EMR, Glue, Lambda)

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

• Experience in working with large datasets (Terabytes or more)

• Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart

• Strong analytical and critical thinking skills

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

Preferred Qualifications

• Experience with digital advertising systems and ecosystems

• Experience using data analytics to triage and troubleshoot advertising workflows

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

Required Education

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

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