{"schemaVersion":"jobsearcher.job.v1","id":"8dcdb31fc7c107157ec96778","url":"https://jobsearcher.com/jobs/8dcdb31fc7c107157ec96778","canonicalUrl":"https://jobsearcher.com/jobs/8dcdb31fc7c107157ec96778","title":"AI Data Engineer - W2","description":"We Miracle Software System is looking for the AI Data Engineer on W2/Fulltime at Dearborn, MI locations.Title: Full Stack Data & AI Engineer (8+years)Location: Dearborn, MIDuration: Long TermThis role is pivotal in transforming complex system level data into high-quality, AI ready data products. The ideal candidate will bridge the gap between backenddata orchestration and frontend application development within a robust Google Cloud Platform (GCP) environment.Core Responsibilities● Data Translation & Modeling:Translate complex system level data into business friendly entities and semantic models. Design models to enable Generative AI and Agentic AI ready datasets and presentation ready dataproducts within GCP.● Full Stack & Orchestration:Build and maintain the orchestration, serving, and API integration layers. Leverage Cloud Dataflow for stream and batchprocessing, and Pub/Sub for real-time messaging to support autonomous agent workflows.● CI/CD & Infrastructure as Code:Implement and manage robust CI/CD pipelines using GitHub Actions. Automate infrastructure provisioning using Terraform and manage GitHub branching strategies (Dev, Stage, Prod).● Data Lifecycle Management:Perform discovery, preparation, and integration of datasets for MVP and production use. Integrate requirementswith existing enterprise data landing platforms, in both structured and unstructured data formats.● AI & Agentic Integration:Work closely with Vertex AI to deploy and manage machine learning models. Design data structures that support agentic reasoning, tool calling, and long term memory.● Governance & Documentation:Develop and maintain data dictionaries and metadata documentation to ensure observability and high data quality for autonomous system grounding.● Strategic Collaboration:Participate in discovery sessions and prototyping phases, mapping end-to-end customer journeys to specific data requirements in collaboration with cross-functional teams.Technical Skills & Qualifications● Development:Proficiency in Full Stack development with a strong emphasis on software engineering components (orchestration and serving layers).● Data Engineering:Strong experience in data pipeline development using SQL, Python, Cloud Run, Cloud Functions and Cloud Composer● Data Governance Framework:Deep technical knowledge of Data Governance Framework, Data Quality, Metadata Management and Data Security.● AI & Agentic AI:Experience preparing datasets for Vertex AI and building data foundations for Agentic AI frameworks (reasoning, planning, and execution).● Automation & IaC:Expert-level experience with GitHub Actions for CI/CD and Terraform for infrastructure management.● Modeling:Expertise in dimensional data modeling, semantic layers, and metadata management.● Application Integration:Expertise in integrating with, and serving to, 3rd-party applications and web portals.","company":"Miracle Software Systems","rawCompany":"miracle software systems","city":"Dearborn","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-05-03T02:38:03.007Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"AI Data Engineer - W2","description":"We Miracle Software System is looking for the AI Data Engineer on W2/Fulltime at Dearborn, MI locations.Title: Full Stack Data & AI Engineer (8+years)Location: Dearborn, MIDuration: Long TermThis role is pivotal in transforming complex system level data into high-quality, AI ready data products. The ideal candidate will bridge the gap between backenddata orchestration and frontend application development within a robust Google Cloud Platform (GCP) environment.Core Responsibilities● Data Translation & Modeling:Translate complex system level data into business friendly entities and semantic models. Design models to enable Generative AI and Agentic AI ready datasets and presentation ready dataproducts within GCP.● Full Stack & Orchestration:Build and maintain the orchestration, serving, and API integration layers. Leverage Cloud Dataflow for stream and batchprocessing, and Pub/Sub for real-time messaging to support autonomous agent workflows.● CI/CD & Infrastructure as Code:Implement and manage robust CI/CD pipelines using GitHub Actions. Automate infrastructure provisioning using Terraform and manage GitHub branching strategies (Dev, Stage, Prod).● Data Lifecycle Management:Perform discovery, preparation, and integration of datasets for MVP and production use. Integrate requirementswith existing enterprise data landing platforms, in both structured and unstructured data formats.● AI & Agentic Integration:Work closely with Vertex AI to deploy and manage machine learning models. Design data structures that support agentic reasoning, tool calling, and long term memory.● Governance & Documentation:Develop and maintain data dictionaries and metadata documentation to ensure observability and high data quality for autonomous system grounding.● Strategic Collaboration:Participate in discovery sessions and prototyping phases, mapping end-to-end customer journeys to specific data requirements in collaboration with cross-functional teams.Technical Skills & Qualifications● Development:Proficiency in Full Stack development with a strong emphasis on software engineering components (orchestration and serving layers).● Data Engineering:Strong experience in data pipeline development using SQL, Python, Cloud Run, Cloud Functions and Cloud Composer● Data Governance Framework:Deep technical knowledge of Data Governance Framework, Data Quality, Metadata Management and Data Security.● AI & Agentic AI:Experience preparing datasets for Vertex AI and building data foundations for Agentic AI frameworks (reasoning, planning, and execution).● Automation & IaC:Expert-level experience with GitHub Actions for CI/CD and Terraform for infrastructure management.● Modeling:Expertise in dimensional data modeling, semantic layers, and metadata management.● Application Integration:Expertise in integrating with, and serving to, 3rd-party applications and web portals.","datePosted":"2026-05-03T02:38:03.007Z","dateModified":"2026-05-03T02:38:03.007Z","hiringOrganization":{"@type":"Organization","name":"Miracle Software Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearborn","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8dcdb31fc7c107157ec96778"},"url":"https://jobsearcher.com/jobs/8dcdb31fc7c107157ec96778"}}