Sr Data Engineer

Sr Data EngineerTechnology 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.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 offeringsEnhance/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 supportParticipate 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 pipelinesHands-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 datasetsExperience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks)Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practicesOperational experience in multi-system/services production environment as point-of-contact / SMEProblem solving skills with strong attention to detail and excellent analytical and communication skillsSolid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CDSolid experience with AWS S3Preferred 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.