Job Description

Disney Entertainment & ESPN TechnologyOn any given day at Disney Entertainment & ESPN Technology, wexe2x80x99re reimagining ways to create magical viewing experiences for the worldxe2x80x99s most beloved stories while also transforming Disneyxe2x80x99s media business for the future. Whether thatxe2x80x99s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disneyxe2x80x99s 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 youxe2x80x99d love working for Disney Entertainment & ESPN TechnologyBuilding the future of Disneyxe2x80x99s media business: DE&E Technologists are designing and building the infrastructure that will power Disneyxe2x80x99s 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 xe2x80x93 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.The Data Reliability Engineering team for Disneyxe2x80x99s Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainmentxe2x80x99s big data platform, which processes hundreds of terabytes of data and billions of events daily.About The RoleThe Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Companyxe2x80x99s revenue. You will be making an outsized impact in an organization that values data as its top priority. We are a tight and driven team with big goals, so we seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment. We also support a healthy work-life-balance.ResponsibilitiesAssist in designing and developing a platform to support incident observability and automation. This team will be required to build high quality data models and products that monitor and reports on data pipeline health and data quality.Lead project work efforts internally and externally setting project deliverables, review design documents, perform code reviews and help mentor junior members of the team.Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure.Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting. Present your research and insights to all levels of the company, clearly and concisely.Build solutions to continually improve our software release and change management process using industry best practices to help DSS maintain legal compliance.Basic Qualifications7+ years of experience working on mission critical data pipelines and ETL systems.7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and SnowflakeDetailed problem-solving approach, coupled with a strong sense of ownership and driveA passionate bias to action and passion for delivering high-quality data solutionsExpertise with common Data Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languagesExperience with workflow orchestration tools such as AirflowDeep understanding of end-to-end pipeline design and implementation.Attention to detail and quality with excellent problem solving and interpersonal skillsPreferred QualificationsAdvanced degrees are a plus.Strong data visualizations skills to convey information and results clearlyAbility to work independently and drive your own projects.Exceptional interpersonal and communication skills.Impactful presentation skills in front of a large and diverse audience.Experience with DevOps tools such as Docker, Kubernetes, Jenkins, etc.Innate curiosity about consumer behavior and technologyExperience with event messaging frameworks like Apache KafkaA fan of movies and television is a strong plus.Required EducationBachelorxe2x80x99s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experienceAdditional Information#DISNEYTECH
The hiring range for this position in Santa Monica, California is $152,200 to $204,100 per year, in Bristol, Connecticut is $152,200 to $204,100 per year, in Seattle, Washington is $159,500 to $213,900 per year. in New York City, NY is $159,500 to $213,900 per year, and in San Francisco, California is $166,800 to $223,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidatexe2x80x99s 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.

Disney Entertainment & ESPN Technology