Job Posting Title:Senior Data EngineerReq ID:10089743Job Description:Disney Entertainment & ESPN TechnologyOn 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 TechnologyBuilding 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.

Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Assurance, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security.The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer.

As a member of the Core Data team you will establish the foundational set of data 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 DoContribute to maintaining, updating, and expanding existing Core Data platform data pipelines in Scala and Python/Spark while maintaining strict uptime SLAsExtend 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 organizationImplement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and AirflowImplement the Lakehouse architecture, working with customers, partners, and stakeholders to shift towards a Lakehouse centric data platformImplementation shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines across the Data organizationTech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, PythonCollaborate with product managers, architects, and other engineers to drive the success of the Core Data platformContribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, partitioning strategies, and moreEnsure 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 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 teamEngage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvementsMaintain detailed documentation of your work and changes to support data quality and data governance requirementsBasic Qualifications At least 5 years of data engineering experience developing large data pipelinesStrong algorithmic problem-solving expertiseStrong fundamental Scala and Python programming skillsBasic understanding of AWS or other cloud provider resources (S3)Strong SQL skills and ability to create queries to analyze complex datasetsHands-on production environment experience with distributed processing systems such as SparkHands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelinesSome scripting language experienceWillingness and ability to learn and pick up new skillsetsSelf-starting problem solver with an eye for detail and excellent analytical and communication skillsPreferred Qualifications Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)Experience in developing APIs with GraphQLDeep Understanding of AWS or other cloud providers as well as infrastructure as codeFamiliarity with Data Modeling techniques and Data Warehousing standard methodologies and practicesFamiliar with Scrum and Agile methodologiesRequired EducationBachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experienceAdditional Informationhiring range for this position in New York, NY is $142,516.00 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.Job Posting Segment:Product & Data EngineeringJob Posting Primary Business:Product & Data EngineeringPrimary Job Posting Category:Data EngineeringEmployment Type:Full timePrimary City, State, Region, Postal Code:New York, NY, USAAlternate City, State, Region, Postal Code:Date Posted:2024-05-17SummaryLocation: New York, NY, USAType: Full time.