{"schemaVersion":"jobsearcher.job.v1","id":"c7fd423f7c779accc12f1f5c","url":"https://jobsearcher.com/jobs/c7fd423f7c779accc12f1f5c","canonicalUrl":"https://jobsearcher.com/jobs/c7fd423f7c779accc12f1f5c","title":"Data Engineer","description":"The client is looking for a Senior Data Solutions Engineer. This role will build scalable data products, automation, and AI-enabled solutions that improve how CAO teams operate.\r\nThis senior individual contributor role requires deep data engineering expertise and strong product thinking. The candidate can turn ambiguous business problems into practical, production-ready solutions. The foundation of the role is data engineering, but the scope extends into APIs, automation workflows, AI-enabled capabilities, and lightweight applications that help teams make better decisions, reduce manual work, and unlock value from data.\r\nYou will partner with business collaborators, analysts, program leaders, architects, and engineers to translate business needs into scalable solutions. You will also help improve the team’s engineering standards and encourage adoption of modern development practices.\r\nWhat you'll do:Develop, build, and support data solutions that scale efficiently, including data streams, schemas, interfaces, and automation workflows.\r\nTranslate ambiguous business requirements into clear technical solutions and delivery plans.\r\nBuild automation and intelligent solutions that improve data quality, reduce manual effort, and increase operational capacity.\r\nApply modern engineering practices, including source control, testing, CI/CD, code reviews, documentation, monitoring, and production support.\r\nEvaluate, integrate, and optimize data from internal and external systems.\r\nContribute to reusable patterns, engineering standards, and technical direction for data products.\r\nMentor engineers, review designs and code, and help the team effectively use AI-assisted development tools.\r\nWhat you need to succeed:7+ years of experience in data engineering, analytics engineering, software engineering, automation engineering, or a related technical field.\r\nStrong proficiency in SQL and Python, with experience building reliable data pipelines, data models, APIs, and automated workflows.\r\nExperience with cloud data platforms, data warehouses, orchestration tools, Git-based development, and CI/CD practices.\r\nAbility to lead complex technical initiatives across multiple systems, partners, and business domains.\r\nStrong understanding of data quality, governance, security, access controls, and production reliability.\r\nExperience using LLMs or AI-assisted development tools to accelerate engineering work while validating outputs and maintaining quality standards.\r\nStrong communication skills, with the ability to explain technical concepts and tradeoffs to technical and non-technical audiences.\r\nBachelor’s degree or equivalent experience in Computer Science, Data Engineering, Information Systems, a related field, or equivalent practical experience#J-18808-Ljbffr","company":"Dignifyd","rawCompany":"dignifyd","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-04T01:56:04.100Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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 client is looking for a Senior Data Solutions Engineer. This role will build scalable data products, automation, and AI-enabled solutions that improve how CAO teams operate.\r\nThis senior individual contributor role requires deep data engineering expertise and strong product thinking. The candidate can turn ambiguous business problems into practical, production-ready solutions. The foundation of the role is data engineering, but the scope extends into APIs, automation workflows, AI-enabled capabilities, and lightweight applications that help teams make better decisions, reduce manual work, and unlock value from data.\r\nYou will partner with business collaborators, analysts, program leaders, architects, and engineers to translate business needs into scalable solutions. You will also help improve the team’s engineering standards and encourage adoption of modern development practices.\r\nWhat you'll do:Develop, build, and support data solutions that scale efficiently, including data streams, schemas, interfaces, and automation workflows.\r\nTranslate ambiguous business requirements into clear technical solutions and delivery plans.\r\nBuild automation and intelligent solutions that improve data quality, reduce manual effort, and increase operational capacity.\r\nApply modern engineering practices, including source control, testing, CI/CD, code reviews, documentation, monitoring, and production support.\r\nEvaluate, integrate, and optimize data from internal and external systems.\r\nContribute to reusable patterns, engineering standards, and technical direction for data products.\r\nMentor engineers, review designs and code, and help the team effectively use AI-assisted development tools.\r\nWhat you need to succeed:7+ years of experience in data engineering, analytics engineering, software engineering, automation engineering, or a related technical field.\r\nStrong proficiency in SQL and Python, with experience building reliable data pipelines, data models, APIs, and automated workflows.\r\nExperience with cloud data platforms, data warehouses, orchestration tools, Git-based development, and CI/CD practices.\r\nAbility to lead complex technical initiatives across multiple systems, partners, and business domains.\r\nStrong understanding of data quality, governance, security, access controls, and production reliability.\r\nExperience using LLMs or AI-assisted development tools to accelerate engineering work while validating outputs and maintaining quality standards.\r\nStrong communication skills, with the ability to explain technical concepts and tradeoffs to technical and non-technical audiences.\r\nBachelor’s degree or equivalent experience in Computer Science, Data Engineering, Information Systems, a related field, or equivalent practical experience#J-18808-Ljbffr","datePosted":"2026-11-04T01:56:04.100Z","dateModified":"2026-11-04T01:56:04.100Z","hiringOrganization":{"@type":"Organization","name":"Dignifyd","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c7fd423f7c779accc12f1f5c"},"url":"https://jobsearcher.com/jobs/c7fd423f7c779accc12f1f5c"}}