Lead Software Engineer, Data Platforms
申請 稍後繼續申請 Job ID 10092611 職位地點 西雅圖, 华盛顿州, 美國 / 圣莫尼卡, 加利福尼亚州, 美國 有意工作的公司 Disney Entertainment & ESPN Technology 張貼日期 2024/09/05工作概要:
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.
The Product & Data Engineering team is responsible for end to end development for Disney’s world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across Apple, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data.
About The Role
The Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization is looking for a Lead Software Engineer to join our Big Data Applications team. Big Data technology is critical to improving products in the DEET Portfolio because it allows us to quantify content performance, measure advertising effectiveness, help users discover new content, detect fraud, and track user journeys. Overall, this data enables us to better understand the user experience so we can continue improving our service for our users, advertisers, and content partners. Our Big Data Applications Engineering team is seeking a highly motivated Software Engineer with a strong technical background who is passionate about designing and building systems to process data at scale, solving challenging problems in both batch and real-time data processing, and working across software and data disciplines to engineer solutions. Our tech stack includes AWS, Databricks, Airflow, and Spark, and primary languages are Scala and Java.
Responsibilities
- Contribute to maintaining, updating, and expanding the existing Data Capture platform including the Spark data pipelines while maintaining strict uptime SLAs
- Extend functionality of current Data Capture platform offerings, including metadata parsing, extending the metastore API, and building new integrations with APIs both internal and external to the Data organization
- Implement the Lakehouse architecture, working with customers, partners, and stakeholders to shift towards a Lakehouse centric data platform
- Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization
- Collaborate with product managers, architects, and other engineers to drive the success of the Data Capture platform
- Lead the developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, partitioning strategies, and more
- Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)
- Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
- Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements
- Maintain detailed documentation of your work and changes to support data quality and data governance requirements
- Provide mentorship and guidance for team members; evangelize the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption
- Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python
Basic Qualifications
- 7+ years of software engineering experience developing backend applications
- 2+ years of data engineering experience developing large data pipelines
- Strong algorithmic problem-solving expertise
- Strong fundamental Scala and Python programming skills
- Basic understanding of AWS or other cloud provider resources (S3)
- Strong SQL skills and ability to create queries to analyze complex datasets
- Hands-on production environment experience with distributed processing systems such as Spark
- Hands-on production experience with orchestration systems such as Airflow
- Some scripting language experience
- Willingness and ability to learn and pick up new skillsets
- Self-starting problem solver with an eye for detail and excellent analytical and communication skills
Preferred Qualifications
- Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)
- Experience in developing APIs with GraphQL
- Deep Understanding of AWS or other cloud providers as well as infrastructure as code
- Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
- Familiar with Scrum and Agile methodologies
- Master’s Degree a plus
Required Education
- Bachelor’s Degree in Computer Science, Information Systems or related field or equivalent industry experience
The hiring range for this position in Seattle is $156,300 - $209,600 per year and in Santa Monica is $149,300 - $200,200 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.
關於 Disney Entertainment & ESPN Technology:
Disney Entertainment 和 ESPN Technology (DE&E Technology) 為 Disney 的兩個媒體業務部門提供技術骨幹和產品開發,同時幫助公司處於創新尖端,使公司能夠不斷利用技術增強故事講述和創造力,同時為其業務提供可擴展性、靈活性和效率。
關於 The Walt Disney Company:
Walt Disney Company 連同其子公司和聯營公司,是領先的多元化國際家庭娛樂和媒體企業,其業務主要涉及三個範疇:Disney Entertainment、ESPN 及 Disney Experiences。Disney 在 1920 年代的起步之初,只是一間卡通工作室,至今已成為娛樂界的翹楚,並昂然堅守傳承,繼續為家庭中每位成員創造世界一流的故事與體驗。Disney 的故事、人物與體驗傳遍世界每個角落,深入人心。我們在 40 多個國家/地區營運業務,僱員及演藝人員攜手協力,創造全球和當地人們都珍愛的娛樂體驗。
這個職位隸屬於 Disney Streaming Technology LLC, 其所屬的業務部門是 Disney Entertainment & ESPN Technology。
Disney Streaming Technology LLC 是提供平等就業機會的僱主。求職者都會獲得聘僱考量的機會,不分種族、宗教、膚色、生理性別、性傾向、社會性別、性別認同、性別表達、原國籍、血統、年齡、婚姻狀態、軍人或退伍軍人身份、醫療狀況、遺傳資訊或殘疾狀況、或者聯邦、州級或地方法律所禁止的其他任何基本特徵。Disney 提倡讓所有人的想法和決策都有助我們發展、創新、創造最好故事的商業環境,並與瞬息萬變的世界息息相關。