Engineer III, Global Technology Data Solutions

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

• Bachelors 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:  $124000 - $186000

(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. 

Remote Work :

No

Employment Type :

Full-time