{"schemaVersion":"jobsearcher.job.v1","id":"5a9a751baa1688afd5460de0","url":"https://jobsearcher.com/jobs/5a9a751baa1688afd5460de0","canonicalUrl":"https://jobsearcher.com/jobs/5a9a751baa1688afd5460de0","title":"Data Engineer II (Data Analytics Specialist)","description":"*Job Title : Data Engineer II (Data Analytics Specialist)*\n\n*Location : Austin ,TX-78727*\n\n*Duration : 12 Months*\n\n*Summary:*\n\nAMP Video QC & Metadata Operations teams are looking for a highly\n\nmotivated and dedicated DataDev Specialist to support AMP Video QC & Compliance and\n\nUMC (Universal Media Content) Metadata teams’ data and analytics needs. In this role, a\n\nprimary focus is on Apple’s growing Video Operations through content-centric data analytics\n\nthat provides insights into operational effectiveness, efficiencies, and excellence.\n\n*Key Qualifications :*\n\n• Excellent interpersonal and communication skills\n\n• Strong experience and knowledge of data analytics with proficient SQL (Oracle,\n\nTeradata, PostgreSQL, and SparkSQL)\n\n• Experience in Data visualization tools (Tableau or Splunk), if added languages\n\n(Javascript, Python) or libraries (e.g., D3, Graphene) a plus\n\n• Experience in building robust and scalable data pipelines and ETL jobs\n\n• Experience or working knowledge with Big Data technologies such as Hadoop, Hive,\n\nHDFS, Parquet, PySpark, and Spark desired\n\n• Experience in a typical Big Data programming language such as Python, Scala, or\n\nsimilar languages\n\n• Experience in querying data through API (RESTful or GraphQL), using JSON,\n\nProtocolBuffers, or XML desired; if with API development experience a plus\n\n• Working knowledge of Kubernetes, AWS, or CI/CD development (e.g., Airflow, Jenkins)\n\na plus\n\n• Exposure or interest in the UX/UI frontend development (e.g., React, Typescript) or\n\nMachine Learning (e.g., Scikit-Learn, Tensor Flow) a plus\n\n• An independent learner, insatiably curious, and a creative thinker\n\n• Ability to work both independently and within a team environment\n\n• Passion for movies, television, sports, fitness, or other video content\n\n*Description:*\n\nDevelop dashboards, data pipelines/ETL jobs, and reporting to analyze and present data\n\nrelated to video contents, asset reviews, metadata curations, and operational supports.\n\nClosely partner with the internal teams within the AMP Video QC & Metadata Operations\n\norganization to define metrics, KPIs, and automation strategy while meeting the teams’ data\n\nand reporting needs.\n\nAutomate and optimize existing data processing workloads by recognizing complex data\n\nstructures and technology usage patterns and implementing solutions.\n\nFocus on scale and efficiency — build and implement innovative data solutions and establish\n\nbest practices with a start-to-end workflow in mind.\n\n*Education & Experience:*\n\nBachelor or Master's degree in a related field, such as Data Science, Computer Science,\n\nStatistics, Mathematics, Business Analytics, Business Administration, or meaningful industry\n\nexperience prefe\n\nJob Type: Contract\n\nPay: $51.00 - $56.00 per hour\n\nSchedule:\n* 8 hour shift\n\nAbility to commute/relocate:\n* Austin, TX 78727: Reliably commute or planning to relocate before starting work (Required)\n\nExperience:\n* Data analytics: 2 years (Required)\n* SQL: 2 years (Required)\n* Big data: 2 years (Required)\n\nWork Location: In person","company":"Match","rawCompany":"match","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-06T10:32:30.485Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer II (Data Analytics Specialist)","description":"*Job Title : Data Engineer II (Data Analytics Specialist)*\n\n*Location : Austin ,TX-78727*\n\n*Duration : 12 Months*\n\n*Summary:*\n\nAMP Video QC & Metadata Operations teams are looking for a highly\n\nmotivated and dedicated DataDev Specialist to support AMP Video QC & Compliance and\n\nUMC (Universal Media Content) Metadata teams’ data and analytics needs. In this role, a\n\nprimary focus is on Apple’s growing Video Operations through content-centric data analytics\n\nthat provides insights into operational effectiveness, efficiencies, and excellence.\n\n*Key Qualifications :*\n\n• Excellent interpersonal and communication skills\n\n• Strong experience and knowledge of data analytics with proficient SQL (Oracle,\n\nTeradata, PostgreSQL, and SparkSQL)\n\n• Experience in Data visualization tools (Tableau or Splunk), if added languages\n\n(Javascript, Python) or libraries (e.g., D3, Graphene) a plus\n\n• Experience in building robust and scalable data pipelines and ETL jobs\n\n• Experience or working knowledge with Big Data technologies such as Hadoop, Hive,\n\nHDFS, Parquet, PySpark, and Spark desired\n\n• Experience in a typical Big Data programming language such as Python, Scala, or\n\nsimilar languages\n\n• Experience in querying data through API (RESTful or GraphQL), using JSON,\n\nProtocolBuffers, or XML desired; if with API development experience a plus\n\n• Working knowledge of Kubernetes, AWS, or CI/CD development (e.g., Airflow, Jenkins)\n\na plus\n\n• Exposure or interest in the UX/UI frontend development (e.g., React, Typescript) or\n\nMachine Learning (e.g., Scikit-Learn, Tensor Flow) a plus\n\n• An independent learner, insatiably curious, and a creative thinker\n\n• Ability to work both independently and within a team environment\n\n• Passion for movies, television, sports, fitness, or other video content\n\n*Description:*\n\nDevelop dashboards, data pipelines/ETL jobs, and reporting to analyze and present data\n\nrelated to video contents, asset reviews, metadata curations, and operational supports.\n\nClosely partner with the internal teams within the AMP Video QC & Metadata Operations\n\norganization to define metrics, KPIs, and automation strategy while meeting the teams’ data\n\nand reporting needs.\n\nAutomate and optimize existing data processing workloads by recognizing complex data\n\nstructures and technology usage patterns and implementing solutions.\n\nFocus on scale and efficiency — build and implement innovative data solutions and establish\n\nbest practices with a start-to-end workflow in mind.\n\n*Education & Experience:*\n\nBachelor or Master's degree in a related field, such as Data Science, Computer Science,\n\nStatistics, Mathematics, Business Analytics, Business Administration, or meaningful industry\n\nexperience prefe\n\nJob Type: Contract\n\nPay: $51.00 - $56.00 per hour\n\nSchedule:\n* 8 hour shift\n\nAbility to commute/relocate:\n* Austin, TX 78727: Reliably commute or planning to relocate before starting work (Required)\n\nExperience:\n* Data analytics: 2 years (Required)\n* SQL: 2 years (Required)\n* Big data: 2 years (Required)\n\nWork Location: In person","datePosted":"2026-09-06T10:32:30.485Z","dateModified":"2026-09-06T10:32:30.485Z","hiringOrganization":{"@type":"Organization","name":"Match","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5a9a751baa1688afd5460de0"},"url":"https://jobsearcher.com/jobs/5a9a751baa1688afd5460de0"}}