Sr Data Engineer

Disney Cruise Line - The Walt Disney Company; San Francisco (CA); On-site; Confidential; Full time

Benefits offered by this job

Bonus & long-term incentives

Medical benefits

Job summary

Disney Cruise Line - The Walt Disney Company is seeking a senior big data engineer to design and maintain Identity and Device data products within a scalable data platform. You will improve code, modernize models, and collaborate across squads including PM, design, QA, and operations to deliver reliable data solutions.

Responsibilities include on-call participation, code reviews, and advancing AWS-based data pipelines using Databricks, Spark, and Airflow.

Qualifications

• Bachelor's degree or equivalent work experience in a technical field.
• 5+ years of big data engineering experience building large data pipelines.
• Hands-on with distributed systems (Databricks, Spark, Presto, Hive) for petabyte-scale data.
• Strong Python, Scala/Spark and SQL skills for big datasets.
• Experience with Snowflake, Redshift, BigQuery, or Databricks.
• Familiarity with data modeling techniques and data warehousing practices.
• Operational experience in multi-system production environments as SME.
• Proficient with Airflow, CI/CD, and AWS S3.

Responsibilities

• Build and maintain Identity and Device data product offerings.
• Enhance codebase to be extensible, reusable, and maintainable; increase unit test coverage.
• Modernize data models to improve performance and efficiency; reduce costs.
• Promote Agile practices through stand-ups, retrospectives, and sprint planning.
• Collaborate with squad, Product Managers, Designers, QA, Operations to decide on technical outcomes.
• Participate in on-call support and code reviews.

Skills

Python

Scala/Spark

SQL

Databricks

Spark

Airflow

AWS S3

CI/CD

Data modeling

Data warehousing

Snowflake

Redshift

BigQuery

Terraform

Education

Bachelor's degree in Computer science or related field

Tools

Airflow

CI/CD tooling

Terraform

Job description

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:

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 Platform 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.

This role involves building and maintaining our Identity Householding Data products. These products serve as a comprehensive source of truth for enterprise‑wide customer identifiers and their groupings. The role requires expert knowledge of building scalable, fault‑tolerant data processing pipelines and backend to ensure the reliable delivery of both real‑time and batch data.

Responsibilities

• Build and maintain product‑driven initiatives to improve and expand Identity and Device data product offerings
• Enhance/improve the underlying codebase to be extensible, reusable, and maintainable. Increase unit test coverage on the existing codebase.
• Enhance/redesign existing data models with input from Architecture in order to modernize products and/or improve performance and efficiency, and decrease costs.
• Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand‑up, retrospectives and sprint planning.
• Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.
• Participate in on‑call support
• Participate in code reviews and problem‑solving.

Basic Qualifications

• Bachelor's degree in Computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
• 5+ years of related big data engineering experience modeling and developing large data pipelines
• Hands‑on experience with distributed systems such as Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level.
• Strong Python, Scala/Spark and SQL skills processing big datasets
• Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, BigQuery, Databricks)
• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
• Operational experience in multi‑system/services production environment as point‑of‑contact / SME
• Problem solving skills with strong attention to detail and excellent analytical and communication skills
• Solid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CD
• Solid experience with AWS S3

Preferred Qualifications

• Demonstrated ability with cloud infrastructure technologies, including Terraform.
• Understanding of householding algorithms and third‑party data enrichment tools.

The hiring range for this position in San Francisco is $155,400 - $208,400 per year, Santa Monica, CA is $141,900 - $190,300 per year and Seattle is $148,700 - $199,400 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.