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

Expeditors • Seattle, WA

156d • $110,000 - $175,000

About The Position

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. 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. 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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Support Activities for Transportation
• Education Level: Bachelor's degree