{"schemaVersion":"jobsearcher.job.v1","id":"1f4b0d358b71fba2753bab60","url":"https://jobsearcher.com/jobs/1f4b0d358b71fba2753bab60","canonicalUrl":"https://jobsearcher.com/jobs/1f4b0d358b71fba2753bab60","title":"Data Engineer/MACHINE LEARNING","description":"Job Description:\nThe role will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.\nThe ideal candidate is an experienced data pipeline builder and data wrangler who enjoy optimizing data systems and building them from the ground up.\nThe Data Engineer will support our software developers, database architects, and data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.\nThe right candidate will be excited by the prospect of optimizing or even re-designing our data architecture to support our next generation of products and data initiatives.\nResponsibilities:\nCreate and maintain optimal data pipeline architecture for data intensive applications.\nAssemble large, complex data sets that meet functional / non-functional business requirements.\nIdentify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.\nBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmo DB, Databricks and other legacy databases.\nBuild analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.\nWork with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.\nKeep our data separated and secure across national boundaries through multiple data centers and Azure regions.\nCreate data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.\nWork with data and analytics experts to strive for greater functionality in our data systems.\nQualifications for Data Engineer\nAdvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.\nExtensive Experience on Databricks on Azure Cloud platform, deep understanding on Delta lake, Lake House Architecture.\nProgramming experience on Python, Shell scripting, PySpark, and other data programming language.\nExperience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.\nStrong analytic skills related to working with Data Visualization Dashboard, Metrics and etc.\nBuild processes supporting data transformation, data structures, metadata, dependency and workload management.\nSkills:\nA successful history of manipulating, processing and extracting value from large disconnected datasets.\nWorking knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.\nFamiliar with Deployment tool like Docker and building CI/CD pipelines.\nExperience supporting and working with cross-functional teams in a dynamic environment.\n8+ years' experience in software development, Data engineering, and\nBachelor's degree in computer science, Statistics, Informatics, Information Systems or another quantitative field. Postgraduate/master's degree is preferred.\nExperience in Machine Learning and Data Modeling is a plus.\nJob Type: Contract\nPay: $60.00 - $70.00 per hour\nBenefits:\n401(k)\nDental insurance\nVision insurance\nCompensation Package:\nHourly pay\nSchedule:\n8 hour shift\nAbility to commute/relocate:\nSunnyvale, CA 94086: Reliably commute or planning to relocate before starting work (Required)\nExperience:\nPython: 1 year (Preferred)\nSQL: 1 year (Preferred)\nWork Location: In person","company":"Tellussolutions","rawCompany":"tellussolutions","city":"Sunnyvale","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-06T11:37:58.242Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer/MACHINE LEARNING","description":"Job Description:\nThe role will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.\nThe ideal candidate is an experienced data pipeline builder and data wrangler who enjoy optimizing data systems and building them from the ground up.\nThe Data Engineer will support our software developers, database architects, and data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.\nThe right candidate will be excited by the prospect of optimizing or even re-designing our data architecture to support our next generation of products and data initiatives.\nResponsibilities:\nCreate and maintain optimal data pipeline architecture for data intensive applications.\nAssemble large, complex data sets that meet functional / non-functional business requirements.\nIdentify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.\nBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmo DB, Databricks and other legacy databases.\nBuild analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.\nWork with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.\nKeep our data separated and secure across national boundaries through multiple data centers and Azure regions.\nCreate data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.\nWork with data and analytics experts to strive for greater functionality in our data systems.\nQualifications for Data Engineer\nAdvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.\nExtensive Experience on Databricks on Azure Cloud platform, deep understanding on Delta lake, Lake House Architecture.\nProgramming experience on Python, Shell scripting, PySpark, and other data programming language.\nExperience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.\nStrong analytic skills related to working with Data Visualization Dashboard, Metrics and etc.\nBuild processes supporting data transformation, data structures, metadata, dependency and workload management.\nSkills:\nA successful history of manipulating, processing and extracting value from large disconnected datasets.\nWorking knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.\nFamiliar with Deployment tool like Docker and building CI/CD pipelines.\nExperience supporting and working with cross-functional teams in a dynamic environment.\n8+ years' experience in software development, Data engineering, and\nBachelor's degree in computer science, Statistics, Informatics, Information Systems or another quantitative field. Postgraduate/master's degree is preferred.\nExperience in Machine Learning and Data Modeling is a plus.\nJob Type: Contract\nPay: $60.00 - $70.00 per hour\nBenefits:\n401(k)\nDental insurance\nVision insurance\nCompensation Package:\nHourly pay\nSchedule:\n8 hour shift\nAbility to commute/relocate:\nSunnyvale, CA 94086: Reliably commute or planning to relocate before starting work (Required)\nExperience:\nPython: 1 year (Preferred)\nSQL: 1 year (Preferred)\nWork Location: In person","datePosted":"2026-08-06T11:37:58.242Z","dateModified":"2026-08-06T11:37:58.242Z","hiringOrganization":{"@type":"Organization","name":"Tellussolutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1f4b0d358b71fba2753bab60"},"url":"https://jobsearcher.com/jobs/1f4b0d358b71fba2753bab60"}}