Jobs in the United States

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Added 1 min ago
Data Engineer 4 (Manager, IC)-EDT
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Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Added 1 min ago
Full-stack Engineer 5 (Sr Manager, IC)
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Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
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Expeditors

Engineer III, Global Technology - Data Solutions

Ellenwood, GA, United States

Additional Information Compensation and Benefits Base Salary: $124,000 - $186,000 (The listed salary range is representative of the Newark market.

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Job details

Pay: Additional Information Compensation and Benefits Base Salary: $124,000 - $186,000 (The listed salary range is representative of the Newark market.
Experience: 5+ years of experience designing and implementing end-to-end enterprise data and analytics solutions.
Working hours: 40 hours per week
Posting language: English
Posted: Nov 4, 2026

Original job description

Company Description “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

Job Description

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

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 Information Compensation 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.

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More about this job

Skills

Reporting
Databricks
Microsoft Power BI
SQL
Apache Spark
PySpark
Git
CI/CD
Data engineering
Process improvement
Data models
Coaching
Decision making
Computer science
Data modelling
Power Query
Test automation
Troubleshooting
Communication skills
Collaboration
Problem solving
Leadership
Tableau
Python
Microsoft Azure
Google Analytics
DP

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