{"schemaVersion":"jobsearcher.job.v1","id":"92099b010956896ee7a81187","url":"https://jobsearcher.com/jobs/92099b010956896ee7a81187","canonicalUrl":"https://jobsearcher.com/jobs/92099b010956896ee7a81187","title":"Forecasting Data Engineer","description":"Forecasting Data Engineer\nDescription - Job Summary This role is responsible for data collection and processing, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur. The role applies developed subject matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate alternatives.\nResponsibilities Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.\nAnalyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.\nWrites and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture.\nLeads a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.\nCollaborates and communicates with project team regarding project progress and issue resolution.\nAnalyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data.\nIdentifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets.\nWorks cross-functionally with different departments to assess, define, and develop report deliverables.\nRepresents the software data engineering team for all phases of larger and more-complex development projects.\nProvides guidance and mentoring to less experienced staff members.\nEducation & Experience Recommended\nFour-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.\nTypically has 4-7 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field or an advanced degree with 3-5 years of work experience.\nPreferred Certifications Programming Language/s Certification (SQL, Python, or similar)\nKnowledge & Skills Agile Methodology\nAmazon Web Services\nApache Spark\nBig Data\nComputer Science\nData Analysis\nData Engineering\nData Modeling\nData Pipelines\nData Warehousing\nExtract Transform Load (ETL)\nMachine Learning\nPython (Programming Language)\nScala (Programming Language)\nScalability\nSQL (Programming Language)\nCross-Org Skills Effective Communication\nResults Orientation\nLearning Agility\nDigital Fluency\nCustomer Centricity\nImpact & Scope Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.\nComplexity Responds to moderately complex issues within established guidelines.\nDisclaimer This 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.\nSalary The pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.\nBenefits: HP 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\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.\nJob - Data & Information Technology\nSchedule - Full time\nShift - No shift premium (United States of America)\nTravel - No\nRelocation - Yes\nEqual Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).\nPlease be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.\nFor more information, review HP’s[EEO Policy](https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225) or read about your rights as an applicant under the law here: \"Know Your Rights: Workplace Discrimination is Illegal\"\n\n#J-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Vancouver","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-08-04T03:24:59.415Z","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":"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":"Forecasting Data Engineer","description":"Forecasting Data Engineer\nDescription - Job Summary This role is responsible for data collection and processing, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur. The role applies developed subject matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate alternatives.\nResponsibilities Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.\nAnalyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.\nWrites and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture.\nLeads a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.\nCollaborates and communicates with project team regarding project progress and issue resolution.\nAnalyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data.\nIdentifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets.\nWorks cross-functionally with different departments to assess, define, and develop report deliverables.\nRepresents the software data engineering team for all phases of larger and more-complex development projects.\nProvides guidance and mentoring to less experienced staff members.\nEducation & Experience Recommended\nFour-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.\nTypically has 4-7 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field or an advanced degree with 3-5 years of work experience.\nPreferred Certifications Programming Language/s Certification (SQL, Python, or similar)\nKnowledge & Skills Agile Methodology\nAmazon Web Services\nApache Spark\nBig Data\nComputer Science\nData Analysis\nData Engineering\nData Modeling\nData Pipelines\nData Warehousing\nExtract Transform Load (ETL)\nMachine Learning\nPython (Programming Language)\nScala (Programming Language)\nScalability\nSQL (Programming Language)\nCross-Org Skills Effective Communication\nResults Orientation\nLearning Agility\nDigital Fluency\nCustomer Centricity\nImpact & Scope Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.\nComplexity Responds to moderately complex issues within established guidelines.\nDisclaimer This 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.\nSalary The pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.\nBenefits: HP 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\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.\nJob - Data & Information Technology\nSchedule - Full time\nShift - No shift premium (United States of America)\nTravel - No\nRelocation - Yes\nEqual Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).\nPlease be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.\nFor more information, review HP’s[EEO Policy](https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225) or read about your rights as an applicant under the law here: \"Know Your Rights: Workplace Discrimination is Illegal\"\n\n#J-18808-Ljbffr","datePosted":"2026-08-04T03:24:59.415Z","dateModified":"2026-08-04T03:24:59.415Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"92099b010956896ee7a81187"},"url":"https://jobsearcher.com/jobs/92099b010956896ee7a81187"}}