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Senior Software Engineer - Data Capture Team

Job ID 10092614 Location Santa Monica, California, United States / Bristol, Connecticut, United States / San Francisco, California, United States / New York, New York, United States / Seattle, Washington, United States Business Disney Entertainment & ESPN Technology Date posted Nov. 19, 2024
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Job Summary:

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 $138,900 to $186,200 per year, in Bristol, Connecticut is $138,900 to $186,200 per year, in Seattle, Washington is $145,400 to $195,000 per year. in New York City, NY is $145,400 to $195,000 per year, and in San Francisco, California is $152,100 to $203,900 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.

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    About Disney Entertainment & ESPN Technology:

    Disney Entertainment and ESPN Technology (DE&E Technology) provides the technological backbone and product development for Disney’s two media business units, while helping to keep the company at the vanguard of innovation – enabling the Company to continuously leverage technology to enhance storytelling and creativity, while delivering scalability, flexibility, and efficiency for its businesses.

    About The Walt Disney Company:

    The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

    This position is with Hulu, LLC, which is part of a business we call Disney Entertainment & ESPN Technology.

    Hulu, LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

    DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS

    The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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    Explore this Location Santa Monica, CA

    Basking in sunshine 280 days of the year and located just 20 minutes west of Downtown Los Angeles, Santa Monica is a walkable oasis teeming with outdoor adventures, luxury wellness spas and opportunities to kick back under blue skies and awe-inspiring sunsets.

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