Disney Streaming is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, Disney Streaming has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we're looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what this is all about.
The Core Data team for the Data organization within Disney Streaming (DS), a segment under the Disney Media & Entertainment Distribution is in search of a Senior Data Engineer. As a member of the Core Data team you will establish the foundational set of core platform pipelines and datasets 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 Core Data team is seeking to grow their team of world-class Data Engineers that share their charisma and enthusiasm for making a positive impact.
What You'll Do:

• Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines in Scala and Python / Spark while maintaining strict uptime SLAs
• Extend functionality of current Core Data 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 key partners 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 all data pipelines across the Data organization
• Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python
• Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
• Contribute to developing and documenting both internal and external standards for pipeline configurations, naming conventions, partitioning strategies, and more
• Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our partners (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

Basic Qualifications:

• 5 + 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

Nice To Haves:

• Hands-on production environment experience with distributed processing systems such as Spark
• Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
• Some scripting language experience
• Willingness and ability to learn and pick up new skills
• Self-starting problem solver with an eye for detail and excellent analytical and communication skills
• 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

Basic Education:

• Bachelor's or Master's Degree in Computer Science, Information Systems equivalent industry experience

The hiring range for this position in New York is $165,110 to $191,180.00 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.