{"schemaVersion":"jobsearcher.job.v1","id":"9e205b5cf8b8b887358cba29","url":"https://jobsearcher.com/jobs/9e205b5cf8b8b887358cba29","canonicalUrl":"https://jobsearcher.com/jobs/9e205b5cf8b8b887358cba29","title":"Data Pipeline & Analytics Engineer","description":"Jobs for Humanity is partnering with Elegax to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.\n\nCompany Name: Elegax\n\nJob Description\nJoin our team to build and evolve data pipelines and analytics solutions that transform raw data into reliable, governed insights stakeholders can trust and act on.\n\nJob Purpose\nDesign, build, and optimize scalable ETL/ELT and analytics-ready data models that improve performance, ensure high data quality through automated monitoring, and enable data-driven decision-making with accessible dashboards and governed datasets.\n\nJob Duties and Responsibilities\n\nETL/ELT (Airflow, dbt or similar)\n\nData pipeline design & optimization\n\nWorkflow orchestration and monitoring\n\nSQL (advanced)\n\nData modeling\n\nBig data tools (Spark)\n\nCloud data stacks (AWS/GCP/Azure)\n\nAutomated data quality monitoring\n\nQuery performance tuning\n\nAnalytics-ready models and dashboards\n\nData governance and governed datasets\n\nProblem-solving and analytical thinking\n\nOwnership and continuous improvement\n\nCommunication with technical and non-technical teams\n\nAttention to detail and data quality mindset\n\nStakeholder management\n\nQualifications\nRequired Qualifications\n\nSQL (advanced)\n\nData modeling\n\nETL/ELT (Airflow, dbt or similar)\n\nWorkflow orchestration and monitoring\n\nCloud data stacks (AWS/GCP/Azure)\n\nBig data tools (Spark)\n\nExperience improving query performance and reducing processing costs\n\nExperience implementing automated data quality monitoring\n\nProficiency building analytics-ready models and dashboards\n\nData governance / data stewardship experience\n\nStrong analytical and problem-solving skills\n\nExcellent communication with technical and non-technical stakeholders\n\nHigh attention to detail and strong data quality mindset\n\nDemonstrated ownership and continuous improvement\n\n#J-18808-Ljbffr","company":"For Humanity","rawCompany":"for humanity","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-09-01T03:09:13.396Z","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 Pipeline & Analytics Engineer","description":"Jobs for Humanity is partnering with Elegax to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.\n\nCompany Name: Elegax\n\nJob Description\nJoin our team to build and evolve data pipelines and analytics solutions that transform raw data into reliable, governed insights stakeholders can trust and act on.\n\nJob Purpose\nDesign, build, and optimize scalable ETL/ELT and analytics-ready data models that improve performance, ensure high data quality through automated monitoring, and enable data-driven decision-making with accessible dashboards and governed datasets.\n\nJob Duties and Responsibilities\n\nETL/ELT (Airflow, dbt or similar)\n\nData pipeline design & optimization\n\nWorkflow orchestration and monitoring\n\nSQL (advanced)\n\nData modeling\n\nBig data tools (Spark)\n\nCloud data stacks (AWS/GCP/Azure)\n\nAutomated data quality monitoring\n\nQuery performance tuning\n\nAnalytics-ready models and dashboards\n\nData governance and governed datasets\n\nProblem-solving and analytical thinking\n\nOwnership and continuous improvement\n\nCommunication with technical and non-technical teams\n\nAttention to detail and data quality mindset\n\nStakeholder management\n\nQualifications\nRequired Qualifications\n\nSQL (advanced)\n\nData modeling\n\nETL/ELT (Airflow, dbt or similar)\n\nWorkflow orchestration and monitoring\n\nCloud data stacks (AWS/GCP/Azure)\n\nBig data tools (Spark)\n\nExperience improving query performance and reducing processing costs\n\nExperience implementing automated data quality monitoring\n\nProficiency building analytics-ready models and dashboards\n\nData governance / data stewardship experience\n\nStrong analytical and problem-solving skills\n\nExcellent communication with technical and non-technical stakeholders\n\nHigh attention to detail and strong data quality mindset\n\nDemonstrated ownership and continuous improvement\n\n#J-18808-Ljbffr","datePosted":"2026-09-01T03:09:13.396Z","dateModified":"2026-09-01T03:09:13.396Z","hiringOrganization":{"@type":"Organization","name":"For Humanity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9e205b5cf8b8b887358cba29"},"url":"https://jobsearcher.com/jobs/9e205b5cf8b8b887358cba29"}}