{"schemaVersion":"jobsearcher.job.v1","id":"a059e5c6f83ec4e50299bee9","url":"https://jobsearcher.com/jobs/a059e5c6f83ec4e50299bee9","canonicalUrl":"https://jobsearcher.com/jobs/a059e5c6f83ec4e50299bee9","title":"Lead Data Engineer","description":"Job Title: Lead Data Engineer\nLocation : Onsite 5 days in NYC\nPay Rate: $60/hr - $65/hr\nDuration : 11 Months\n\nJob Description\nOur Ads & Data Platforms team, a segment under Disney Entertainment & ESPN Technology, is looking for a Lead Data Engineer. Data is essential for all our decision-making needs 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 Content Engineering team is seeking a highly hardworking Data Engineer with a strong technical background and passionate about diving deeper into Big Data to develop state of the art Data Solutions.\n\nResponsibilities\nContribute to the design and growth of our Data Products and Data Warehouses around Content Performance and Content Engagement data.\nDesign and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)\nOur tech stack includes AWS, Databricks, Snowflake, Spark and Airflow\nHelp architect data solutions/frameworks and define data models for the underlying data warehouse and data marts\nCollaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions\nMaintain detailed documentation of your work and changes to support data quality and data governance\nEnsure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)\nBe an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team\n\nBasic Qualifications\n7+ years of data engineering experience developing large data pipelines\nStrong SQL skills and ability to create queries to extract data and build performant datasets\nHands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data at large scale\nExperience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query)\n\nPreferred Qualifications\nNice to have experience with Cloud technologies like AWS (S3, EMR, EC2)\nSolid experience with data integration toolsets (i.e Airflow) and writing and maintaining Data Pipelines\nFamiliarity with Data Modeling techniques and Data Warehousing standard methodologies and practices\nGood Scripting skills, including Bash scripting and Python\nFamiliar with Scrum and Agile methodologies\n\nYou are a problem solver with strong attention to detail and excellent analytical and communication skills\n\nRequired Education\nBachelor’s Degree in Computer Science, Information Systems or related field\n\nPreferred Education\nMaster’s Degree in Computer Science, Information Systems or related field","company":"High5","rawCompany":"high5","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:24:29.801Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer","description":"Job Title: Lead Data Engineer\nLocation : Onsite 5 days in NYC\nPay Rate: $60/hr - $65/hr\nDuration : 11 Months\n\nJob Description\nOur Ads & Data Platforms team, a segment under Disney Entertainment & ESPN Technology, is looking for a Lead Data Engineer. Data is essential for all our decision-making needs 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 Content Engineering team is seeking a highly hardworking Data Engineer with a strong technical background and passionate about diving deeper into Big Data to develop state of the art Data Solutions.\n\nResponsibilities\nContribute to the design and growth of our Data Products and Data Warehouses around Content Performance and Content Engagement data.\nDesign and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)\nOur tech stack includes AWS, Databricks, Snowflake, Spark and Airflow\nHelp architect data solutions/frameworks and define data models for the underlying data warehouse and data marts\nCollaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions\nMaintain detailed documentation of your work and changes to support data quality and data governance\nEnsure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)\nBe an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team\n\nBasic Qualifications\n7+ years of data engineering experience developing large data pipelines\nStrong SQL skills and ability to create queries to extract data and build performant datasets\nHands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data at large scale\nExperience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query)\n\nPreferred Qualifications\nNice to have experience with Cloud technologies like AWS (S3, EMR, EC2)\nSolid experience with data integration toolsets (i.e Airflow) and writing and maintaining Data Pipelines\nFamiliarity with Data Modeling techniques and Data Warehousing standard methodologies and practices\nGood Scripting skills, including Bash scripting and Python\nFamiliar with Scrum and Agile methodologies\n\nYou are a problem solver with strong attention to detail and excellent analytical and communication skills\n\nRequired Education\nBachelor’s Degree in Computer Science, Information Systems or related field\n\nPreferred Education\nMaster’s Degree in Computer Science, Information Systems or related field","datePosted":"2026-04-12T20:24:29.801Z","dateModified":"2026-04-12T20:24:29.801Z","hiringOrganization":{"@type":"Organization","name":"High5","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a059e5c6f83ec4e50299bee9"},"url":"https://jobsearcher.com/jobs/a059e5c6f83ec4e50299bee9"}}