“We’re not in the shipping business; we’re in the information business” -Peter Rose, Expeditors Founder
Global 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.
- 18,000 trained professionals
- 350+ locations worldwide across 60+ countries
- Fortune 500
- Globally unified systems
Why This Role Matters
As 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.
Team and Technology
You 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.
What Success Looks Like
- Deliver high-quality, scalable data and analytics solutions that provide trusted business insights and measurable value.
- Contribute to technical design, architecture, and engineering best practices that improve reliability, maintainability, and operational excellence.
- Partner effectively across engineering and business teams to translate complex requirements into production-ready analytical solutions.
- Advance analytics engineering capabilities through automation, governance, observability, and continuous improvement practices.
Key Areas of Impact
Technical Depth and Delivery
- Design, develop, and support enterprise data models, semantic layers, reporting datasets, and analytical applications.
- Establish engineering best practices for data quality, testing, automation, observability, CI/CD, and release governance.
Architectural Scale
- Design scalable analytics architectures that support current business needs and future growth.
- Participate in solution design and architecture discussions to improve reliability, scalability, and maintainability.
Team Collaboration Scale
- Partner with product managers, architects, platform engineers, and business stakeholders to deliver analytical solutions.
- Support team success through code reviews, technical collaboration, mentoring, and knowledge sharing.
Influence and Advocacy
- Define and standardize KPIs, business metrics, and semantic models that enable trusted enterprise reporting.
- Promote engineering best practices and advocate for solutions that improve delivery quality and customer outcomes.
Scope of Vision
- Translate complex business requirements into scalable analytical solutions with a focus on long-term supportability.
- Identify opportunities to modernize analytics capabilities and evolve enterprise reporting platforms.
Scale of Business Understanding and Impact
- Deliver reporting, dashboards, and visualizations that improve operational visibility and decision-making.
- Ensure analytics solutions align with enterprise data governance, privacy, security, and compliance requirements.
This 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.
- Atlanta, GA
- Dallas, TX
- Detroit, MI
- Laredo, TX
- Newark, NJ
Qualifications for Success
Required
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent combination of education and experience.
- 5+ years of experience designing and implementing end-to-end enterprise data and analytics solutions.
- Advanced experience with Microsoft Fabric and Databricks, including data engineering, data modeling, semantic-layer development, analytics architecture, and performance optimization.
- Advanced proficiency with Power BI, including DAX, Power Query, semantic models, dashboards, and visualization best practices.
- Experience building and supporting scalable data pipelines, Lakehouse solutions, data warehouses, and transformation processes using SQL, Spark, or PySpark.
- Experience implementing Git-integrated CI/CD practices, automated testing, deployment pipelines, and release governance.
- Experience supporting production analytics solutions, including monitoring, troubleshooting, and performance optimization.
- Strong communication, collaboration, problem-solving, and technical leadership skills.
Preferred
- Experience with Agentic AI development processes and practices.
- Experience defining and governing enterprise KPIs, business metrics, semantic models, and reporting standards.
- Experience implementing data quality, observability, privacy, security, and governance practices across analytics platforms.
- Experience modernizing legacy reporting and analytics solutions.
- Experience with Tableau, Python visualization libraries, Azure Data Services, or similar analytics technologies.
- Experience measuring and improving engineering delivery through DORA metrics.
- Microsoft Fabric, Power BI, Databricks, Azure, or related data and analytics certifications.
- One 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.
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.
Additional InformationCompensation and Benefits
Base Salary: $124,000 - $186,000
(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.)
Benefits: Expeditors offers competitive benefits to all full-time employees including:
- Paid vacation
- Holidays (10)
- Flexible Days (2)
- Paid Sick Time (accrual rate of 1 hour of sick time per 30 hours paid)
- 401(k) Retirement Savings Plan with employer match
- Employee Stock Purchase Plan (ESPP)
- Medical, Prescription Drug, Dental & Vision Coverage
- Health Savings Account (HSA)
- Life and Disability Insurance
- Paid Parental Leave (additional eligibility criteria)
- Dependent Care Flexible Spending Account (DC FSA)
- Commuter Benefit
- Employee Assistance Program (EAP)
- Training and Personnel Development Program
- Educational Assistance and Reimbursement
- Position is full time (40 hours per week) Monday through Friday
All your information will be kept confidential according to EEO guidelines.
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent education and experience
- 5+ years designing and implementing end-to-end enterprise data and analytics solutions
- Advanced experience with Microsoft Fabric and Databricks, including data engineering, data modeling, semantic-layer development, analytics architecture, and performance optimization
- Advanced Power BI proficiency, including DAX, Power Query, semantic models, dashboards, and visualization best practices
- Experience building and supporting scalable data pipelines, Lakehouse solutions, data warehouses, and transformation processes using SQL, Spark, or PySpark
- Experience implementing Git-integrated CI/CD, automated testing, deployment pipelines, and release governance
- Experience supporting production analytics solutions, including monitoring, troubleshooting, and performance optimization
- Strong communication, collaboration, problem-solving, and technical leadership skills
- Experience with Agentic AI development processes and practices
- Experience defining and governing enterprise KPIs, business metrics, semantic models, and reporting standards
- Experience implementing data quality, observability, privacy, security, and governance practices across analytics platforms
- Experience modernizing legacy reporting and analytics solutions
- Experience with Tableau, Python visualization libraries, Azure Data Services, or similar analytics technologies
- Experience measuring and improving engineering delivery through DORA metrics
- Microsoft Fabric, Power BI, Databricks, Azure, or related data and analytics certifications
- Microsoft Certified: Fabric Analytics Engineer Associate, Fabric Data Engineer Associate, Power BI Data Analyst Associate, or Databricks Data Engineer Professional certification
- Eligibility to lawfully work in the United States immediately without employer sponsorship or transfer of work authorization
Expeditors Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Expeditors and has not been reviewed or approved by Expeditors.
-
Equity Value & Accessibility — Equity participation is supported through an Employee Stock Purchase Plan that is positioned as a standout perk, including references to a purchase discount and contribution limits. Stock-plan availability is treated as a meaningful wealth-building component of the overall rewards mix.
-
Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, and prescription benefits, with additional protections like life and disability insurance. Benefit materials also point to common add-ons such as HSA options, EAP support, and broad baseline coverage in job postings.
-
Retirement Support — Retirement benefits include a 401(k) plan with employer matching that is repeatedly cited as a defined component of the package. Auto-enrollment/auto-increase features are also referenced as mechanisms that support participation and savings behavior.
Expeditors Insights
What We Do
Expeditors is a global logistics company headquartered in Seattle, Washington. As a Fortune 500 (374) company, we employ over 16,500 trained professionals in a worldwide network of over 320 locations across six continents. Expeditors is focused on the increasingly sophisticated needs of international trade through customized solutions and seamless, integrated information systems. Our services include air and ocean freight consolidation and forwarding, vendor consolidation, customs clearance, cargo insurance, distribution and other value-added logistics services. We pride ourselves on being a solutions-based organization that takes the time to understand each customer's individual business needs. As a non-asset based organization, we have considerable flexibility when managing customers' supply chains. Our relationships with local suppliers and global air and ocean partners provides our customers with the best routing and pricing options. Expeditors' comprehensive, flexible spectrum of services is supported by leading-edge information technology providing the highest level of end to end visibility. To maintain consistent quality and customer service across the globe, Expeditors has regional headquarters located in London, Dubai, Shanghai and Singapore. At Expeditors, our industry professionals, award winning processes and globally unified systems ensure that we always live up to our promise, "You'd be surprised how far we'll go for you."
