Senior Software Engineer - Data Capture Team

工作 ID 10092614 地點圣莫尼卡, 加利福尼亚州, 美國 / 布里斯托尔, 康乃狄克州, 美國 / 旧金山, 加利福尼亚州, 美國 / 纽约, 纽约州, 美國 / 西雅圖, 华盛顿州, 美國 有意工作的公司 Disney Entertainment & ESPN Technology 日期已公佈 Sep. 10, 2024

申請

樂享魔法

員工和演藝人員是我們一切工作的核心，因此 Disney 提供具有競爭力的全面獎勵方案，包括薪資、健康和儲蓄福利、休假計劃、教育機會等。

*福利和資格可能因企業和地點而異

健康保險與健康
托兒選項
有薪假期
退休計劃
學費援助
每週支薪

查看全部

在迪士尼有很多成長和學習的機會！工作中永遠不會有沉悶的時刻。

Diana, Principal Counsel

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 Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service. Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass. The Data Capture team is seeking to grow their team of world class Software Engineers that share their charisma and enthusiasm for making a positive impact.

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

5+ 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

Additional Information

#DISNEYTECH

The hiring range for this position in Santa Monica, California is $136,038 to $182,490 per year, in Bristol, Connecticut is $136,038 to $182,490 per year, in Seattle, Washington is $142,516 to $191,180 per year. in New York City, NY is $142.516 to $191,180 per year, and in San Francisco, California is $149,000 to $199,000 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 Hulu, LLC，其所屬的業務部門是 Disney Entertainment & ESPN Technology。

Hulu, 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。

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