Senior Software Engineer, Data Platforms - Hulu
Santa Monica, CA 90401
About the Job
Job Posting Title:Senior Software Engineer, Data PlatformsReq ID:10092613Job 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.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.Job Summary:The Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization is looking for a Sr
Software Engineer to join our Big Data Applications team
Big Data technology 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 Big Data Applications Engineering 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 and Duties of the Role:Contribute to the design and growth of our Big Data Products and Services, enabling evaluation of product performance and user behaviorDesign and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)Work on systems to query, process, and deliver data out of the analytics environment into internal tools and systemsCollaborate on architectural designs and help plan for maintainability, observability, and future development concernsMaintain detailed documentation of your work and changes to support data quality and data governanceEnsure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customersBe an active participant and advocate of agile/scrum practice to ensure health and process improvements for your teamRequired Education, Experience/Skills/Training:5+ years of software or data engineering experienceExperience developing data pipelines using technologies such as Spark, Hadoop, Databricks, AirflowExperience with developing for a cloud environment (AWS preferred), including cloud databases (Snowflake, Redshift, Databricks Delta Lake)Knowledge of both SQL and NoSQL databasesStrong programming skills in Java, Scala or PythonDemonstrated competency in data modeling and analysis techniques.Strong attention to detail and excellent analytical skillsVerbal and written communication skills and ability to collaborate with others effectively.Preferred Qualifications Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)Experience with scalable online analytical processing databases (Druid, ClickHouse)Experience working with a test first mentality.Deep 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 Education Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experienceThe hiring range for this position in Seattle is $142,600 - $191,100 per year and in Los Angeles is $136,038 - $182,490 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:PDE - Data Platform EngineeringPrimary Job Posting Category:Software EngineerEmployment Type:Full timePrimary City, State, Region, Postal Code:Seattle, WA, USAAlternate City, State, Region, Postal Code:Date Posted:2024-06-21SummaryLocation: Seattle, WA, USA; Santa Monica, CA, USAType: Full time
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.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.Job Summary:The Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization is looking for a Sr
Software Engineer to join our Big Data Applications team
Big Data technology 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 Big Data Applications Engineering 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 and Duties of the Role:Contribute to the design and growth of our Big Data Products and Services, enabling evaluation of product performance and user behaviorDesign and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)Work on systems to query, process, and deliver data out of the analytics environment into internal tools and systemsCollaborate on architectural designs and help plan for maintainability, observability, and future development concernsMaintain detailed documentation of your work and changes to support data quality and data governanceEnsure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customersBe an active participant and advocate of agile/scrum practice to ensure health and process improvements for your teamRequired Education, Experience/Skills/Training:5+ years of software or data engineering experienceExperience developing data pipelines using technologies such as Spark, Hadoop, Databricks, AirflowExperience with developing for a cloud environment (AWS preferred), including cloud databases (Snowflake, Redshift, Databricks Delta Lake)Knowledge of both SQL and NoSQL databasesStrong programming skills in Java, Scala or PythonDemonstrated competency in data modeling and analysis techniques.Strong attention to detail and excellent analytical skillsVerbal and written communication skills and ability to collaborate with others effectively.Preferred Qualifications Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)Experience with scalable online analytical processing databases (Druid, ClickHouse)Experience working with a test first mentality.Deep 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 Education Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experienceThe hiring range for this position in Seattle is $142,600 - $191,100 per year and in Los Angeles is $136,038 - $182,490 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:PDE - Data Platform EngineeringPrimary Job Posting Category:Software EngineerEmployment Type:Full timePrimary City, State, Region, Postal Code:Seattle, WA, USAAlternate City, State, Region, Postal Code:Date Posted:2024-06-21SummaryLocation: Seattle, WA, USA; Santa Monica, CA, USAType: Full time
Source : Hulu