Senior Data Engineer
Job Posting Title:
Senior Data EngineerReq ID:
10084283
Job 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.
About the Role & TeamThe Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization is looking for a Senior Data Engineer to join our Product Performance & Instrumentation Data Team.
Product Performance Data is critical to making product level decisions for the DEET Portfolio whether it s related to product design, measuring advertising effectiveness, helping users discover new content or building new businesses in emerging markets.
This data is deeply valuable and gives us insights into how we can continue improving our service for our users, advertisers and our content partners.
Our Product Performance & Instrumentation Data Engineering team is seeking a highly motivated Senior Data Engineer with a strong technical background who is passionate about designing and building systems to process data at scale to provide business value, create models and features that unlock powerful insights, and work across software and data disciplines to solve difficult unique problems at scale.
Our tech stack includes AWS, Databricks, Airflow, Spark, Databricks and languages include Scala and Python.
What You Will DoContribute to maintaining, updating, and expanding existing data pipelines in Python / Spark while maintaining strict uptime SLAsArchitect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelinesTech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, PythonCollaborate with product managers, architects, and other engineers to drive the success of the Product Performance Data and key business stakeholdersContribute to developing and documenting both internal and external standards for pipeline configurations, naming conventions, partitioning strategies, and moreEnsure high operational efficiency and quality of 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 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 requirementsRequired Qualifications & SkillsAt least 5 years of data engineering experience developing large data pipelinesStrong algorithmic problem-solving expertiseStrong fundamental 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 skillsSelf-starting problem solver with an eye for detail and excellent analytical and communication skillsPreferred QualificationsExperience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)Experience working in Scala or JavaExperience 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 methodologiesEducationBachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experienceAdditional Information#DISNEYTECHThe hiring range for this position in Santa Monica, CA is $136,100.
00 to $182,400 per year, in Seattle, WA is $142,600.
00 to $191,100.
00 per year, and in New York, NY is $142,600.
00 to $191,100.
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:
USA - CA - 2450 Broadway, USA - WA - 925 4th AveDate Posted:
2024-04-01SummaryLocation:
New York, NY, USA; Seattle, WA, USA; Santa Monica, CA, USAType:
Full time.
Estimated Salary: $20 to $28 per hour based on qualifications.
Senior Data EngineerReq ID:
10084283
Job 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.
About the Role & TeamThe Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization is looking for a Senior Data Engineer to join our Product Performance & Instrumentation Data Team.
Product Performance Data is critical to making product level decisions for the DEET Portfolio whether it s related to product design, measuring advertising effectiveness, helping users discover new content or building new businesses in emerging markets.
This data is deeply valuable and gives us insights into how we can continue improving our service for our users, advertisers and our content partners.
Our Product Performance & Instrumentation Data Engineering team is seeking a highly motivated Senior Data Engineer with a strong technical background who is passionate about designing and building systems to process data at scale to provide business value, create models and features that unlock powerful insights, and work across software and data disciplines to solve difficult unique problems at scale.
Our tech stack includes AWS, Databricks, Airflow, Spark, Databricks and languages include Scala and Python.
What You Will DoContribute to maintaining, updating, and expanding existing data pipelines in Python / Spark while maintaining strict uptime SLAsArchitect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelinesTech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, PythonCollaborate with product managers, architects, and other engineers to drive the success of the Product Performance Data and key business stakeholdersContribute to developing and documenting both internal and external standards for pipeline configurations, naming conventions, partitioning strategies, and moreEnsure high operational efficiency and quality of 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 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 requirementsRequired Qualifications & SkillsAt least 5 years of data engineering experience developing large data pipelinesStrong algorithmic problem-solving expertiseStrong fundamental 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 skillsSelf-starting problem solver with an eye for detail and excellent analytical and communication skillsPreferred QualificationsExperience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)Experience working in Scala or JavaExperience 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 methodologiesEducationBachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experienceAdditional Information#DISNEYTECHThe hiring range for this position in Santa Monica, CA is $136,100.
00 to $182,400 per year, in Seattle, WA is $142,600.
00 to $191,100.
00 per year, and in New York, NY is $142,600.
00 to $191,100.
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:
USA - CA - 2450 Broadway, USA - WA - 925 4th AveDate Posted:
2024-04-01SummaryLocation:
New York, NY, USA; Seattle, WA, USA; Santa Monica, CA, USAType:
Full time.
Estimated Salary: $20 to $28 per hour based on qualifications.
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