{"id":3759854,"url":"https://alion.io/job/expeditors-international-engineer-iii-global-technology-data-solutions","title":"Engineer III, Global Technology - Data Solutions","company":{"id":4803,"name":"Expeditors International","domain":"expeditors.com","url":"https://alion.io/company/expeditors","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":29,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Edison, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":124000,"max":186000,"currency":"USD","period":"year","gross":null,"usd_annual":186000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-04T17:19:48Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-11T07:30:51Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"“We’re not in the shipping business; we’re in the information business” -Peter Rose, Expeditors Founder\nGlobal 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.\n18,000 trained professionals \n350+ locations worldwide across 60+ countries \nFortune 500 \nGlobally unified systems \n Why This Role Matters\nAs an Engineer III (Data Engineer) within the Data Solutions team, you will help design, build, and support enterprise-scale data and analytics solutions that enable business teams to make trusted, data-driven decisions. You will play a key role in delivering modern analytics capabilities, driving engineering excellence, and ensuring data products are scalable, reliable, and aligned with business objectives.\nTeam and Technology\nYou will work closely with engineers, product managers, architects, platform teams, and business stakeholders to develop enterprise data platforms, analytical applications, semantic models, and reporting solutions. This role leverages technologies including Microsoft Fabric, Databricks, Power BI, SQL, Spark, PySpark, Git-integrated CI/CD pipelines, and modern data engineering practices.\nWhat Success Looks Like\nDeliver high-quality, scalable data and analytics solutions that provide trusted business insights and measurable value. \nContribute to technical design, architecture, and engineering best practices that improve reliability, maintainability, and operational excellence. \nPartner effectively across engineering and business teams to translate complex requirements into production-ready analytical solutions. \nAdvance analytics engineering capabilities through automation, governance, observability, and continuous improvement practices. \nKey Areas of Impact\nTechnical Depth and Delivery\nDesign, develop, and support enterprise data models, semantic layers, reporting datasets, and analytical applications. \nEstablish engineering best practices for data quality, testing, automation, observability, CI/CD, and release governance. \nArchitectural Scale\nDesign scalable analytics architectures that support current business needs and future growth. \nParticipate in solution design and architecture discussions to improve reliability, scalability, and maintainability. \nTeam Collaboration Scale \nPartner with product managers, architects, platform engineers, and business stakeholders to deliver analytical solutions. \nSupport team success through code reviews, technical collaboration, mentoring, and knowledge sharing. \nInfluence and Advocacy\nDefine and standardize KPIs, business metrics, and semantic models that enable trusted enterprise reporting. \nPromote engineering best practices and advocate for solutions that improve delivery quality and customer outcomes. \nScope of Vision\nTranslate complex business requirements into scalable analytical solutions with a focus on long-term supportability. \nIdentify opportunities to modernize analytics capabilities and evolve enterprise reporting platforms. \nScale of Business Understanding and Impact \nDeliver reporting, dashboards, and visualizations that improve operational visibility and decision-making. \nEnsure analytics solutions align with enterprise data governance, privacy, security, and compliance requirements. \nThis position is on-site and will reside in one of the areas listed below, depending on availability. Candidates must be local or willing to relocate. Relocation assistance is not offered for this position. \nAtlanta, GA \nDallas, TX \nDetroit, MI \nLaredo, TX \nNewark, NJ \n Qualifications for Success\nRequired\nBachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent combination of education and experience. \n5+ years of experience designing and implementing end-to-end enterprise data and analytics solutions. \nAdvanced experience with Microsoft Fabric and Databricks, including data engineering, data modeling, semantic-layer development, analytics architecture, and performance optimization. \nAdvanced proficiency with Power BI, including DAX, Power Query, semantic models, dashboards, and visualization best practices. \nExperience building and supporting scalable data pipelines, Lakehouse solutions, data warehouses, and transformation processes using SQL, Spark, or PySpark. \nExperience implementing Git-integrated CI/CD practices, automated testing, deployment pipelines, and release governance. \nExperience supporting production analytics solutions, including monitoring, troubleshooting, and performance optimization. \nStrong communication, collaboration, problem-solving, and technical leadership skills. \nPreferred\nExperience with Agentic AI development processes and practices. \nExperience defining and governing enterprise KPIs, business metrics, semantic models, and reporting standards. \nExperience implementing data quality, observability, privacy, security, and governance practices across analytics platforms. \nExperience modernizing legacy reporting and analytics solutions. \nExperience with Tableau, Python visualization libraries, Azure Data Services, or similar analytics technologies. \nExperience measuring and improving engineering delivery through DORA metrics. \nMicrosoft Fabric, Power BI, Databricks, Azure, or related data and analytics certifications. \nOne or more of the following certifications: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600), Microsoft Certified: Fabric Data Engineer Associate (DP-700), Microsoft Certified: Power BI Data Analyst Associate (PL-300), or Databricks Data Engineer Professional. \nApplicants 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. \n Compensation and Benefits\nBase Salary: $124,000 - $186,000\n(The listed salary range is representative of the Newark market. Compensation may vary for positions based in Atlanta, GA, Dallas, TX, Detroit, MI, or Laredo, TX.)\nBenefits: Expeditors offers competitive benefits to all full-time employees including:\nPaid vacation \nHolidays (10) \nFlexible Days (2) \nPaid Sick Time (accrual rate of 1 hour of sick time per 30 hours paid) \n401(k) Retirement Savings Plan with employer match \nEmployee Stock Purchase Plan (ESPP) \nMedical, Prescription Drug, Dental & Vision Coverage \nHealth Savings Account (HSA) \nLife and Disability Insurance \nPaid Parental Leave (additional eligibility criteria) \nDependent Care Flexible Spending Account (DC FSA) \nCommuter Benefit \nEmployee Assistance Program (EAP) \nTraining and Personnel Development Program \nEducational Assistance and Reimbursement \nPosition is full time (40 hours per week) Monday through Friday \nAll your information will be kept confidential according to EEO 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