跳至主要內容
BE YOU. BE HERE. BE PART OF THE STORY.

Lead Software Engineer

工作 ID 10104287 地點 西雅圖, 华盛顿州, 美國 / 圣莫尼卡, 加利福尼亚州, 美國 / 旧金山, 加利福尼亚州, 美國 / 纽约, 纽约州, 美國 有意工作的公司 Disney Entertainment & ESPN Technology 日期已公佈 Nov. 20, 2024
申請

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.

What You'll Do

The Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization is looking for a Lead Software Engineer to join our Experimentation and Personalization Data Team. Experimentation 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 Experimentation and Personalization Data 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

  • Help lead the design and growth of our Data Products and Services enabling experimentation and personalization
  • Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
  • Design and develop systems to query, process, and deliver data out of the analytics environment into internal tools and systems that serve millions of customers
  • Build applications to read, process, and aggregate streaming data at scale to calculate user behavior features in near-real time
  • Our tech stack includes AWS, Databricks, Airflow, Spark, and languages include Scala, Python, Kotlin and Typescript
  • Contribute to architectural designs and help plan for maintainability, observability, and future development concerns
  • Collaborate with a wide variety of stakeholder including Product Manager, Technical Program Managers, Data Engineers, Software Engineers, Data Scientists, and Analysts to identify opportunities, gather requirements, and help guide the direction in which we develop new capabilities
  • Maintain detailed documentation of your work and changes to support data quality and data governance
  • Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers
  • Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

Basic Qualifications

  • At least 7 years of data engineering experience working with data and applications at petabyte scale
  • Expertise in stream processing (Kafka, Structured Streaming) and aggregation at high volumes with attention to reliability and observability
  • Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow)
  • Deep experience with developing for a cloud environment (AWS preferred), including cloud databases (Snowflake, Redshift, DynamoDB)
  • Knowledge of both SQL and NoSQL databases, and how to select storage technologies
  • Strong programming skills in Java, Scala or Python
  • Demonstrated skills in data modeling and analysis techniques
  • Understanding of how to use and design APIs
  • Familiar with Scrum and Agile methodologies
  • You are a problem solver with strong attention to detail and excellent analytical and communication skills, who will collaborate to build greenfield solutions with high business value

Required Education

  • Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering or comparable field of study

Additional Information

#DISNEYTECH


The hiring range for this position in Seattle, Washington is $142,600 to $191,100 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.

申請

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。

就業申請的殘疾便利安排

The Walt Disney Company 及其聯營公司是推動平等就業機會的僱主,歡迎所有求職者,包括殘疾人士及殘疾退伍軍人。如你是殘疾人士,並需要合理便利安排以搜尋職位空缺或申請職位,請將要求發送至Candidate.Accommodations@Disney.com。本電郵地址不擬用於一般僱傭查詢或通訊。我們只會回應與網上申請系統殘疾人士無障礙功能相關的要求。

遇到技術問題?查看常見問題以尋求協助。

招聘流程

  • 您的故事從哪裡開始?

    探索 Disney 職位空缺和 The Life at Disney 網誌,了解華特迪士尼公司有待發掘的所有精彩機會。

  • 迪士尼的故事裏,有你更精彩成就迪士尼故事

    有許多不同品牌和業務可供探索。當您找到適合您的機會後,請填寫您的申請,進行下一步。

  • 下一章

    申請後,您將收到一封電子郵件,讓您可存取應徵者控制面板。建立您的登入資料,並確保經常檢視您的控制面板,以查看申請進度。

探索此地點 華盛頓州西雅圖

西雅圖坐落在西北太平洋地區,擁有繁榮的餐飲場所、不拘一格的社區和迷人的海岸環境,是一個充滿活力的城市。該市被東邊的華盛頓湖和西邊的普吉特海灣包圍,是水上康樂和觀光遊船的理想地點。

我們的文化

  • 行政領導

    我們的高級主管為公司的日常營運帶來了豐富經驗、遠見思維和對卓越、創意和創新的共同承諾。

    了解更多 
  • 多元、公平與包容

    在 Disney,我們致力於創造一個更美好的世界。整個世界充滿歸屬感,讓每人都覺得備受重視、傾聽和理解。整個世界滿載希望和承諾。

    了解更多 

登記收取職缺通知

即時收到最新的工作機會的資訊。

關注我們的職位

星號表示必填欄位。

興趣要求從選項列表中選擇工作類別。從選項列表中選擇工作地點。最後,點擊「添加 (Add)」以建立你的職缺通知。

一經建立帳戶,即代表本人同意使用條款(在新視窗中開啟),並確認已閱讀私隱政策(在新視窗中開啟)

一經點擊「提交」,即同意我們的使用條款(在新視窗中開啟),並確認已閱讀我們的私隱政策(在新視窗中開啟)。如果本人選擇接收營銷訊息或電子通訊,本人可以隨時撤回對這些營銷訊息的同意。

一經點擊「提交」,即同意我們的使用條款(在新視窗中開啟),並確認已閱讀私隱政策(在新視窗中開啟)Cookie 政策(在新視窗中開啟)歐盟私隱權內容(在新視窗中開啟)

我們如何使用您的個人資料以及您的權利:

  1. 你的個人資料由 The Walt Disney Company Limited 控制,公司地址為:3 Queen Caroline Street, London, W6 9PE, United Kingdom。
  2. 當你遊覽 Disney、在 Disney 購物或使用任何 Disney 產品、服務或流動應用程式,The Walt Disney Company Family of Companies 亦可能使用你的資料,以向你提供此等服務、度身定制你的體驗,並向你發送有關服務的最新消息及通訊資料。
  3. 你擁有多項權利,包括有權要求存取、更改或移除你的個人資料,或更改你的營銷偏好設定(包括隨時撤回同意)。請參閱我們的私隱政策(在新視窗中開啟),以進一步了解如何管理你的營銷偏好設定或刪除你的帳戶。
  4. 如欲聯絡我們的資料保護專員,可發送電郵至:dataprotection@disney.co.uk
  5. 你有權向英國資訊專員的辦事處投訴:https://ico.org.uk/(在新視窗中開啟)
  6. 有關 Disney 資料收集和使用方式的更多資料,請見 Disney 的私隱政策(在新視窗中開啟)

點擊「提交」,即表示你同意我們的使用條款(在新視窗中開啟),並確認你已經閱讀我們的私隱政策(在新視窗中開啟)收集聲明(在新視窗中開啟)

如要進一步了解我們的一般資料收集、用途及做法,包括如何管理你的喜好設定,請參閱我們的私隱政策(在新視窗中開啟)。本人已閱讀和同意使用條款(在新視窗中開啟)

Privacy Policy Agreement

Privacy Policy Agreement

Privacy Policy Agreement

Privacy Policy Agreement

Privacy Policy Agreement