{"schemaVersion":"jobsearcher.job.v1","id":"0f2a65c2cb41045a7ebf5870","url":"https://jobsearcher.com/jobs/0f2a65c2cb41045a7ebf5870","canonicalUrl":"https://jobsearcher.com/jobs/0f2a65c2cb41045a7ebf5870","title":"Data Engineer","description":"Role OverviewWe're looking for a Data Engineer with a strong focus on machine learning workflows and logistics data integration. In this role, you'll design and maintain scalable data pipelines, collaborate closely with data scientists, and transform operational data from WMS and ERP systems into actionable insights. If you're passionate about building ML-ready data infrastructure and thrive in cross-functional environments, we’d love to hear from you.Key ResponsibilitiesML-Focused Data EngineeringBuild and optimize data pipelines tailored for machine learning use casesCollaborate with data scientists to prepare features, manage data versions, and support model retrainingLead initiatives around feature stores, input validation, and monitoring systemsData Integration from WMS & Operational SystemsIngest and transform structured/unstructured data from WMS, ERP, and telemetry platformsModel and enrich logistics data for real-time and predictive applicationsPipeline Automation & OrchestrationDesign modular, scalable pipelines using tools like Azure Data Factory, Airflow, or Databricks WorkflowsEnsure data freshness and reliability across batch and streaming environmentsData Governance & QualityImplement validation layers, anomaly detection, and reconciliation processesContribute to metadata management, data lineage, and auditabilityCross-Functional CollaborationPartner with data scientists, ML engineers, software developers, and warehouse operations teamsTranslate modeling needs into optimized, structured data architectureDocumentation & MentorshipDocument ML data flows, WMS mappings, and pipeline logic for team-wide clarityMentor junior team members on best practices in ML data engineeringRequired QualificationsTechnical SkillsStrong experience with ML data pipelines, feature engineering, and model lifecycle supportProficient in Python, SQL, and tools like dbt, Spark, or Delta LakeDeep understanding of data modeling, orchestration, and cloud platforms (Azure, Databricks)Familiarity with ML tools like MLflow, TensorFlow Extended (TFX), or similarHands-on experience with WMS or logistics dataExperience5+ years in data engineering, including 2+ years supporting AI/ML teamsProven track record designing production-grade pipelines in cloud environmentsStrong","company":"It Resources","rawCompany":"it resources","city":"Tampa","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-05-22T19:49:16.627Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Role OverviewWe're looking for a Data Engineer with a strong focus on machine learning workflows and logistics data integration. In this role, you'll design and maintain scalable data pipelines, collaborate closely with data scientists, and transform operational data from WMS and ERP systems into actionable insights. If you're passionate about building ML-ready data infrastructure and thrive in cross-functional environments, we’d love to hear from you.Key ResponsibilitiesML-Focused Data EngineeringBuild and optimize data pipelines tailored for machine learning use casesCollaborate with data scientists to prepare features, manage data versions, and support model retrainingLead initiatives around feature stores, input validation, and monitoring systemsData Integration from WMS & Operational SystemsIngest and transform structured/unstructured data from WMS, ERP, and telemetry platformsModel and enrich logistics data for real-time and predictive applicationsPipeline Automation & OrchestrationDesign modular, scalable pipelines using tools like Azure Data Factory, Airflow, or Databricks WorkflowsEnsure data freshness and reliability across batch and streaming environmentsData Governance & QualityImplement validation layers, anomaly detection, and reconciliation processesContribute to metadata management, data lineage, and auditabilityCross-Functional CollaborationPartner with data scientists, ML engineers, software developers, and warehouse operations teamsTranslate modeling needs into optimized, structured data architectureDocumentation & MentorshipDocument ML data flows, WMS mappings, and pipeline logic for team-wide clarityMentor junior team members on best practices in ML data engineeringRequired QualificationsTechnical SkillsStrong experience with ML data pipelines, feature engineering, and model lifecycle supportProficient in Python, SQL, and tools like dbt, Spark, or Delta LakeDeep understanding of data modeling, orchestration, and cloud platforms (Azure, Databricks)Familiarity with ML tools like MLflow, TensorFlow Extended (TFX), or similarHands-on experience with WMS or logistics dataExperience5+ years in data engineering, including 2+ years supporting AI/ML teamsProven track record designing production-grade pipelines in cloud environmentsStrong","datePosted":"2026-05-22T19:49:16.627Z","dateModified":"2026-05-22T19:49:16.627Z","hiringOrganization":{"@type":"Organization","name":"It Resources","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tampa","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0f2a65c2cb41045a7ebf5870"},"url":"https://jobsearcher.com/jobs/0f2a65c2cb41045a7ebf5870"}}