Data Engineer III/Senior (AI and Gen AI)

“We’re not in the shipping business; we’re in the information business” -Peter Rose, Expeditors FounderGlobal supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics.15,000 trained professionals250+ locations worldwideFortune 500Globally unified systemsJob DescriptionWe are seeking a highly skilled and hands-on Data Engineer III or Senior Data Engineer to design, build, and operate enterprise-scale data pipelines, data products, and data platforms, with a strong emphasis on incorporating Generative AI capabilities into production systems.This is first and foremost a data engineering role. The successful candidate will own the development of reliable, scalable, and observable data systems that power analytics, applications, and operational workflows, while also integrating LLM-based and AI-enabled features where they add clear business value.This role sits within the engineering discipline and works closely with the architecture community. You will partner with data scientists, product teams, platform engineers, architects, and business stakeholders to ensure that AI capabilities are embedded within well-designed data systems, not built in isolation.This position supports the Americas geography under the Global Technology organization and contributes to initiatives that enhance operations across 70+ offices in multiple countries.A successful Data Engineer III / Senior Data Engineer:Builds and operates production-grade data pipelines, data platforms, and data productsIncorporates AI and Generative AI capabilities into data systems in a pragmatic, maintainable wayDesigns systems that balance scalability, reliability, cost, security, and observabilityRaises the bar for engineering quality and operational excellenceActs as a technical leader and mentor, influencing design decisions and standards across teamsMajor Duties And ResponsibilitiesData Engineering & Data Platforms Design and implement scalable data ingestion, transformation, and serving pipelinesBuild and operate data products and shared data services that support analytics and applicationsEnsure data quality, lineage, reliability, and observability across systemsManage dependencies and impacts across adjacent platforms and downstream consumersAI & Generative AI EnablementIntegrate Generative AI capabilities (LLMs, embeddings, RAG patterns, agentic workflows) into data pipelines, products, and servicesDesign AI-enabled components that align with enterprise-scale data and platform architecturesEnsure AI features meet governance, compliance, security, and observability requirementsPartner with data scientists to productionize AI models and experiments within data platformsCloud-Native Azure DevelopmentDesign, deploy, and operate cloud-native data and AI systems on AzureImplement Infrastructure as Code (e.g., Bicep, Terraform) for secure, repeatable environmentsBuild and maintain CI/CD pipelines supporting frequent, safe production releasesContribute to engineering standards for data and cloud platformsOperational ExcellenceOwn or share responsibility for the operational health of data and AI systemsParticipate in on-call rotations and contribute to resilient, self-healing architecturesOptimize systems for performance, reliability, and cost at scaleDemonstrate strong incident response and operational decision-makingTechnical Leadership & CollaborationLead or significantly contribute to technical designs for data and AI-enabled systemsMentor engineers and reinforce data and engineering best practicesPartner with architects, managers, and stakeholders to align systems with business goalsAdvocate for modern data engineering and AI platform patterns across teamsQualificationsMinium Qualifications (Levelled at Offer)Data Engineer III:Bachelor’s degree with 5+ years, or Master’s with 3+ years, or equivalent experienceSenior Data Engineer:Bachelor’s degree with 10+ years, Master’s with 5+ years, or PhD with 3+ yearsFor both levels:Proven experience building and operating production-grade data pipelines and systemsExperience incorporating AI or Generative AI capabilities into data-driven systemsExperience with CI/CD, containerization, and modern DevOps practicesAbility to design reliable, observable, and secure data platformsStrong proficiency in Python and SQLDesired QualificationsExperience with Azure-native data and platform servicesFamiliarity with LLMs, embeddings, RAG architectures, and AI orchestration frameworksExperience deploying systems with governance, security, and compliance requirementsBackground in platform engineering or internal data platformsExperience mentoring engineers or leading cross-team technical initiativesAdditional InformationThe annual salary for this position is between $130,000 to $150,000.The position is an in-office/onsite position that is based in one of these locations.Atlanta GA2764 Anvilblock Rd, Ellenwood, GA 30294, USADetroit MIRomulus Ave, Romulus, MI 48174, USAEdison NJ150 Raritan Center Pkwy, Edison, NJ 08837, USADallas TX1101 Valley View Ln, Irving, TX 75061, USAExpeditors also offers 26 remote days per year that can be used as needed.Position is full time (40 hours per week) Monday through Friday (in office). We are an office business attire company.Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.Expeditors Offers Excellent BenefitsPaid Vacation, Holiday, Sick Time Health Plan: Medical, Prescription Drug, Dental and VisionLife and Long Term Disability Insurance 401(k) Retirement Savings Plan (US only)Employee Stock Purchase Plan Training and Personnel Development ProgramAll your information will be kept confidential according to EEO guidelines. For internal applicants, should you be interested in applying for this position, please discuss this opportunity with your supervisor.