{"schemaVersion":"jobsearcher.job.v1","id":"48d02a22d667af06fa66d427","url":"https://jobsearcher.com/jobs/48d02a22d667af06fa66d427","canonicalUrl":"https://jobsearcher.com/jobs/48d02a22d667af06fa66d427","title":"Data Engineer","description":"Overview Data Engineer\r\nOn site 4 days a week in Dearborn, MI\r\nW2 Only - no sponsorship offered for this position\r\nPython, Cloud (preferably GCP), SQL, Apache Spark, Kafka, Data Mapping & Cataloging, CI/CD\r\nDexian is seeking a Data Engineering Engineer to design, build, and maintain scalable data infrastructure and pipelines in support of advanced product development and AI-driven initiatives. This is a hands-on, operations-focused backend role. The engineer will \"hold the fort\" operationally — ensuring pipelines are healthy, data is mapped and cataloged, and the right data is in the right place. You will work closely with another data engineer who is currently writing APIs, mapping elements, and building advanced Python scripts to normalize and pipeline data. This role ensures the ongoing health and scalability of pipelines, while also enabling Dexian to industrialize AI applications and scale innovative models into enterprise-ready solutions.\r\nKey Responsibilities Collaborate with business, technology, and AI/ML teams to define data requirements and delivery standards\r\nPartner with another data engineer to manage backend operations, pipeline stability, and scaling\r\nWrite advanced Python and SQL scripts for normalization, transformation, and cataloging of data\r\nDesign, build, and maintain cloud-native ETL pipelines (Kafka, Spark, Beam, GCP Dataflow, Pub/Sub, EventArc)\r\nArchitect and implement data warehouses and unified data models to integrate siloed data sources\r\nPerform data mapping and cataloging to ensure accuracy, traceability, and consistency\r\nAutomate pipeline orchestration, event-driven triggers, and infrastructure provisioning\r\nTroubleshoot and optimize data workflows for performance and scalability\r\nSupport CI/CD processes with Git/GitHub and Cloud Build\r\nWork cross-functionally to integrate new applications into existing data models and scale them effectively\r\nMust-Have Skills Advanced Python (scripting, backend operations, transformations)\r\nAdvanced SQL (complex queries, backend optimization)\r\nApache Spark / Kafka (large-scale ETL/data processing)\r\nCloud experience (GCP preferred, but AWS or Azure equally acceptable if adaptable)\r\nData mapping and cataloging (governance, traceability, accuracy)\r\nEvent-driven pipeline design (e.g., EventArc, Pub/Sub, AWS equivalents)\r\nData warehouse design & cloud-native storage (BigQuery, Snowflake, Redshift)\r\nCI/CD pipeline tools (GitHub, Cloud Build, or equivalents)\r\nFamiliarity with data governance and orchestration practices\r\nNice-to-Have Skills Java or Powershell scripting\r\nAwareness of ML/AI concepts - curiosity and willingness to learn valued\r\nExperience & Education Approximately 5 years of data engineering experience\r\nBachelor's Degree in Computer Science, Data Engineering, or related field (Master's in Data Science is a plus)\r\nIndustry background flexible - non-automotive engineers can succeed if able to adapt quickly\r\nPersonality & Team Fit Ownership mentality: treats projects like their own, takes initiative without reminders\r\nCurious & proactive: stays current with new technologies, eager to learn\r\nPositive & collaborative: fits into a young, energetic team; keeps the atmosphere light but focused\r\nProblem solver: navigates cross-functional challenges and proposes actionable solutions\r\nWilling to put in extra effort (early/late work when needed) to help the team succeed\r\nDexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.\r\nJ-18808-Ljbffr","company":"Dexian","rawCompany":"dexian","city":"Dearborn","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:34:18.313Z","occupations":[{"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"},{"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":"Data Engineer","description":"Overview Data Engineer\r\nOn site 4 days a week in Dearborn, MI\r\nW2 Only - no sponsorship offered for this position\r\nPython, Cloud (preferably GCP), SQL, Apache Spark, Kafka, Data Mapping & Cataloging, CI/CD\r\nDexian is seeking a Data Engineering Engineer to design, build, and maintain scalable data infrastructure and pipelines in support of advanced product development and AI-driven initiatives. This is a hands-on, operations-focused backend role. The engineer will \"hold the fort\" operationally — ensuring pipelines are healthy, data is mapped and cataloged, and the right data is in the right place. You will work closely with another data engineer who is currently writing APIs, mapping elements, and building advanced Python scripts to normalize and pipeline data. This role ensures the ongoing health and scalability of pipelines, while also enabling Dexian to industrialize AI applications and scale innovative models into enterprise-ready solutions.\r\nKey Responsibilities Collaborate with business, technology, and AI/ML teams to define data requirements and delivery standards\r\nPartner with another data engineer to manage backend operations, pipeline stability, and scaling\r\nWrite advanced Python and SQL scripts for normalization, transformation, and cataloging of data\r\nDesign, build, and maintain cloud-native ETL pipelines (Kafka, Spark, Beam, GCP Dataflow, Pub/Sub, EventArc)\r\nArchitect and implement data warehouses and unified data models to integrate siloed data sources\r\nPerform data mapping and cataloging to ensure accuracy, traceability, and consistency\r\nAutomate pipeline orchestration, event-driven triggers, and infrastructure provisioning\r\nTroubleshoot and optimize data workflows for performance and scalability\r\nSupport CI/CD processes with Git/GitHub and Cloud Build\r\nWork cross-functionally to integrate new applications into existing data models and scale them effectively\r\nMust-Have Skills Advanced Python (scripting, backend operations, transformations)\r\nAdvanced SQL (complex queries, backend optimization)\r\nApache Spark / Kafka (large-scale ETL/data processing)\r\nCloud experience (GCP preferred, but AWS or Azure equally acceptable if adaptable)\r\nData mapping and cataloging (governance, traceability, accuracy)\r\nEvent-driven pipeline design (e.g., EventArc, Pub/Sub, AWS equivalents)\r\nData warehouse design & cloud-native storage (BigQuery, Snowflake, Redshift)\r\nCI/CD pipeline tools (GitHub, Cloud Build, or equivalents)\r\nFamiliarity with data governance and orchestration practices\r\nNice-to-Have Skills Java or Powershell scripting\r\nAwareness of ML/AI concepts - curiosity and willingness to learn valued\r\nExperience & Education Approximately 5 years of data engineering experience\r\nBachelor's Degree in Computer Science, Data Engineering, or related field (Master's in Data Science is a plus)\r\nIndustry background flexible - non-automotive engineers can succeed if able to adapt quickly\r\nPersonality & Team Fit Ownership mentality: treats projects like their own, takes initiative without reminders\r\nCurious & proactive: stays current with new technologies, eager to learn\r\nPositive & collaborative: fits into a young, energetic team; keeps the atmosphere light but focused\r\nProblem solver: navigates cross-functional challenges and proposes actionable solutions\r\nWilling to put in extra effort (early/late work when needed) to help the team succeed\r\nDexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:34:18.313Z","dateModified":"2026-08-08T01:34:18.313Z","hiringOrganization":{"@type":"Organization","name":"Dexian","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearborn","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"48d02a22d667af06fa66d427"},"url":"https://jobsearcher.com/jobs/48d02a22d667af06fa66d427"}}