{"schemaVersion":"jobsearcher.job.v1","id":"fc9e3d3ed01af855ccbb3222","url":"https://jobsearcher.com/jobs/fc9e3d3ed01af855ccbb3222","canonicalUrl":"https://jobsearcher.com/jobs/fc9e3d3ed01af855ccbb3222","title":"Data Engineer","description":"The base pay range for this role is $102,500 to $157,850 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.\nBenefits:\nHP offers a comprehensive benefits package for this position, including:\nHealth insurance\nDental insurance\nVision insurance\nLong term/short term disability insurance\nEmployee assistance program\nFlexible spending account\nLife insurance\nGenerous time off policies, including;\n4-12 weeks fully paid parental leave based on tenure\n11 paid holidays\nAdditional flexible paid vacation and sick leave (US benefits overview)\nThe compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.\nAbout Us:\nHP's Data and Analytics organization is seeking experienced Data Engineers to join our \"Data Engineering for Data Science\" team. As a forward-thinking and innovative organization, we are dedicated to harnessing data to drive impactful business decisions.\nRole Description:\nIn this role, you will engage in some of the most exciting and cutting-edge projects in Data Engineering, AI/ML, and Generative AI within HP. The Data Engineer will be instrumental in designing and building robust data engineering solutions that support our AI/ML initiatives. You will collaborate closely with data scientists, data architects, and data product owners to develop these solutions.\nWe seek dynamic professionals with a strong foundation in computer programming, experience in large enterprise platforms, and a willingness to learn new technologies.\nKey Responsibilities:\nDesign, develop, and maintain scalable data pipelines and ETL processes using Python, SQL, Databricks and Azure Data Factory.\nImplement and optimize complex SQL queries and Python scripts for data processing.\nDevelop and maintain data models and architecture to ensure high data quality and performance.\nWork closely with cross-functional teams to understand data requirements and provide technical solutions.\nMonitor, troubleshoot, and improve data pipelines to ensure data accuracy and reliability.\nCollaborate with teams across different time zones (Americas and Asia) to ensure seamless project execution and delivery.\nStay up-to-date with the latest industry trends and technologies to continuously improve data engineering practices.\nQualifications:\n5-8 years of experience as a Data Engineer or in a similar role.\nStrong proficiency in ETL, Data processing using Python programming and SQL.\nExtensive experience working in the Databricks environment.\nSolid understanding of Apache Spark and its applications in data processing.\nProven experience in data warehousing, data modeling, data architecture, and building data pipelines.\nHands-on experience with Azure Data Factory.\nExcellent problem-solving skills and the ability to troubleshoot data-related issues.\nStrong communication and collaboration skills to work effectively with global teams.\nA proactive mindset and willingness to learn new technologies and methodologies.\nFour-year or Graduate Degree in Computer Science, Software Engineering or any other related discipline or commensurate work experience or demonstrated competence.\nPreferred Qualifications:\nExperience with cloud platforms such as Microsoft Azure.\nFamiliarity with other big data technologies and tools.\nUnderstanding of data governance and security best practices.\nKnowledge of Agile and DevOps practices.\nFamiliarity with latest AI/ML, Generative AI technologies\nWhy Join Us:\nOpportunity to work with cutting-edge technologies and tools.\nCollaborative and inclusive work environment.\nProfessional growth and development opportunities.\nCompetitive salary and benefits package.\nDisclaimer:\nThis job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.","company":"HP","rawCompany":"hp","city":"Big Spring","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:09:23.616Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"The base pay range for this role is $102,500 to $157,850 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.\nBenefits:\nHP offers a comprehensive benefits package for this position, including:\nHealth insurance\nDental insurance\nVision insurance\nLong term/short term disability insurance\nEmployee assistance program\nFlexible spending account\nLife insurance\nGenerous time off policies, including;\n4-12 weeks fully paid parental leave based on tenure\n11 paid holidays\nAdditional flexible paid vacation and sick leave (US benefits overview)\nThe compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.\nAbout Us:\nHP's Data and Analytics organization is seeking experienced Data Engineers to join our \"Data Engineering for Data Science\" team. As a forward-thinking and innovative organization, we are dedicated to harnessing data to drive impactful business decisions.\nRole Description:\nIn this role, you will engage in some of the most exciting and cutting-edge projects in Data Engineering, AI/ML, and Generative AI within HP. The Data Engineer will be instrumental in designing and building robust data engineering solutions that support our AI/ML initiatives. You will collaborate closely with data scientists, data architects, and data product owners to develop these solutions.\nWe seek dynamic professionals with a strong foundation in computer programming, experience in large enterprise platforms, and a willingness to learn new technologies.\nKey Responsibilities:\nDesign, develop, and maintain scalable data pipelines and ETL processes using Python, SQL, Databricks and Azure Data Factory.\nImplement and optimize complex SQL queries and Python scripts for data processing.\nDevelop and maintain data models and architecture to ensure high data quality and performance.\nWork closely with cross-functional teams to understand data requirements and provide technical solutions.\nMonitor, troubleshoot, and improve data pipelines to ensure data accuracy and reliability.\nCollaborate with teams across different time zones (Americas and Asia) to ensure seamless project execution and delivery.\nStay up-to-date with the latest industry trends and technologies to continuously improve data engineering practices.\nQualifications:\n5-8 years of experience as a Data Engineer or in a similar role.\nStrong proficiency in ETL, Data processing using Python programming and SQL.\nExtensive experience working in the Databricks environment.\nSolid understanding of Apache Spark and its applications in data processing.\nProven experience in data warehousing, data modeling, data architecture, and building data pipelines.\nHands-on experience with Azure Data Factory.\nExcellent problem-solving skills and the ability to troubleshoot data-related issues.\nStrong communication and collaboration skills to work effectively with global teams.\nA proactive mindset and willingness to learn new technologies and methodologies.\nFour-year or Graduate Degree in Computer Science, Software Engineering or any other related discipline or commensurate work experience or demonstrated competence.\nPreferred Qualifications:\nExperience with cloud platforms such as Microsoft Azure.\nFamiliarity with other big data technologies and tools.\nUnderstanding of data governance and security best practices.\nKnowledge of Agile and DevOps practices.\nFamiliarity with latest AI/ML, Generative AI technologies\nWhy Join Us:\nOpportunity to work with cutting-edge technologies and tools.\nCollaborative and inclusive work environment.\nProfessional growth and development opportunities.\nCompetitive salary and benefits package.\nDisclaimer:\nThis job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.","datePosted":"2026-04-12T21:09:23.616Z","dateModified":"2026-04-12T21:09:23.616Z","hiringOrganization":{"@type":"Organization","name":"HP","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Big Spring","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fc9e3d3ed01af855ccbb3222"},"url":"https://jobsearcher.com/jobs/fc9e3d3ed01af855ccbb3222"}}