Expeditors International of Washington-posted 4 months ago
$110,000 - $175,000/Yr
Full-time • Mid Level
Seattle, WA
5,001-10,000 employees
Support Activities for Transportation

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.

  • 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
  • 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
  • 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
  • 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
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