Developer III (Data Engineer) – EXP.O NOW Analytics, IS Customer Experience

“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

What We Are Creating

Expeditors' Customer Experience Portfolio is focused on delivering value to customers via EXP.O NOW, a visionary, industry-leading platform that is the place to go to do business with Expeditors. Our objective is providing a seamless digital experience that connects our customers to their goods, providing a powerful tool to support strategic business decisions. 

Who We Need on Our Team

As a Data Engineer (Analytics Focus), you will be a part of the Analytics team, responsible for the design and production of one of EXP.O NOW's key functional areas. The Analytics team is focused on the launch of a modern cloud-based business intelligence solution leveraging Microsoft Power BI embedded in the EXP.O NOW platform, providing insights that empower customers to manage their supply-chain more effectively.

On the Analytics team you will bridge the gap between data engineering and data analysis by building robust data models and pipelines that support analytics and reporting. You will work closely with data engineers, analysts, and business stakeholders to ensure data accuracy, performance, and accessibility within our data infrastructure.

In this role, you will help design, build, maintain and optimize dataflows from a variety of on-premises and cloud data stores, with a focus on creating scalable and efficient data models. You will have experience in Power BI performance optimization and integrating Power BI with Azure-based data solutions. You will help ensure efficient data processing, optimal report performance, and seamless integration between our data infrastructure and Power BI.

A successful Data Engineer III should excel at the following:

• Demonstrate a strong problem-solving mindset with a focus on continuous improvement
• Effectively communicate technical concepts to non-technical stakeholders
• Proactively collaborate with cross-functional teams
• Continuously learn and adapt to emerging data technologies and best practices

Primary Responsibilities:

• Design and develop data models to support BI and analytics, focusing on performance and scalability
• Build and maintain data pipelines that transform raw data into clean, usable data sets
• Perform data transformations using SQL and scripting languages (e.g., Python)
• Collaborate with data engineers to ensure data availability and integrity
• Validate data outputs for accuracy and consistency through rigorous testing
• Implement data quality checks and maintain data documentation
• Work with stakeholders to define metrics, KPIs, and reporting needs
• Support the migration of on-prem solutions to the cloud
• Support BI tools (e.g., Power BI) by building efficient data models that enhance performance
• Participate in code reviews and contribute to team best practices such as documenting data models and processes, and enforcing data governance and security 
• Monitor pipeline performance and address data inconsistencies and bottlenecks
• Collaborate with the team to optimize database performance and storage solutions

This position is on-site and will reside in the greater Seattle, WA. area at one of the following locations depending on availability. Candidates must be local or willing to relocate. Relocation assistance is not offered for this position.

• Downtown Seattle
• Federal Way
• Lynnwood
• Bellevue (Factoria)

MINIMUM QUALIFICATIONS

• Bachelor's degree in an IT-related field or equivalent experience
• 3-5 years of experience in data transformation, data modeling, and analytics engineering
• Strong experience with SQL and query optimization across multiple databases
• Proficiency in Python for data processing and automation
• Experience with workflow orchestration tools
• Experience with Azure cloud-based data solutions, including Synapse and Data Fabric
• Hands-on experience with ETL/ELT frameworks and workflow automation tools
• Strong understanding of data modeling and schema design for analytics and reporting
• Hands-on experience migrating on-prem data pipelines to the cloud, including strategy, execution, and optimization
• Experience with Power BI performance optimization and integration with Azure
• Demonstrated ability to collaborate with cross-functional teams and stakeholders

DESIRED QUALIFICATIONS

• Experience with Databricks
• Familiarity with infrastructure-as-code (Terraform, ARM templates)
• Experience with data transformation tools
• Experience with Spark and KQL
• Understanding of data governance and compliance (GDPR, CCPA, etc.)
• Experience working in Agile environments with CI/CD processes
• Certifications in Azure Data Engineering or other relevant cloud technologies
• Understanding of data visualization best practices

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.

Expected base salary:  $110,000 to $175,000

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.