Developer II (Data Engineer) - MME, IS Operational Experience - job 1 of 2

“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

This Developer II / Data Engineer role will be focused on integrating technologies to stream data from our legacy systems and migrated applications into our cloud-based Microsoft Data Fabric environment. They will play a key role in a cross-functional agile development team and will be responsible for the design, architecture, and implementation of various cloud native components. The ideal candidate will be a self-starter, collaborative team player, and problem solver. 

Cloud-native systems are designed to thrive in a dynamic, virtualized cloud environment. These systems make extensive use of Platform as a Service (PaaS), compute infrastructure and managed services. This developer will be well versed in these technologies (particularly within Azure) and possess the skills to quickly adapt and learn new ones. It will require technologies and techniques that are new to many at Expeditors but available and proven in the wider technology domain.   

KEY RESPONSIBILITIES

• Design, implement, and document end-to-end data solutions using Microsoft Fabric.
• Develop ETL/Streaming processes to integrate data from multiple sources.
• Optimize data models and databases for efficiency and scalability.
• Collaborate with stakeholders to meet evolving data needs.
• Maintain high standards of data quality through testing and validation.
• Monitor and troubleshoot data pipelines and system performance.
• Stay up to date with emerging trends and tools within the Microsoft Fabric ecosystem.
• Support knowledge transfer by training existing data teams on implemented solutions.

Tools and Technologies:  Candidates should be comfortable with the following tools and concepts:

• Microsoft Azure: Data Factory, Data Lake, Synapse Analytics, Azure SQL Database.
• ETL/Streaming Tools: Kafka, Azure Data Factory, SSIS, or Fabric-native Notebooks.
• Programming Languages: Java, Python, PySpark.
• Data Governance: Understanding of best practices for compliance and quality.
• Technical Documentation: Ability to clearly document processes and workflows.

Soft Skills and Attributes:

• Strong analytical and problem-solving abilities.
• High attention to detail and commitment to data accuracy.
• Effective collaborator with cross-functional teams.
• Adaptable and eager to learn new technologies.
• Clear and concise communication skills.

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

We are looking for talented people who are excited about what they do and who want to be part of a collaborative team. We realize that everyone comes with a unique collection of skills that often don't align perfectly with job postings. If you feel that you don't exactly fit the criteria below but would still be a good fit, please let us know!

• 3+ years of experience in data engineering or 5+ years in software development.
• Demonstrated knowledge and experience with:
  • Object oriented analysis and design.
  • Relational database concepts and SQL.
  • Diagramming and communicating with disparate audiences of technical and non-technical people.
• Solid Java and/or Python coding abilities.
• Experience with GitLab/GitHub, and GitLab CI/CD pipelines, as well as GitOps.
• Experience with the Kubernetes ecosystem.
• Experience with CI/CD pipeline development, testing, integration and refinement.
• Understanding of design for scalability, performance, security, and reliability.
• Experience assessing organizational security needs and implementing strategies to mitigate them.
• Willingness to forgo role boundaries and contribute where needed.
• Customer service-oriented attitude and great time-management skills.

DESIRED QUALIFICATIONS

• Supporting environments using Azure cloud infrastructure technologies.
• Experience with Azure Key Vault and/or Hashicorp Vault.
• Knowledge of the Kafka ecosystem.
• Knowledge of Kubernetes operators.
• Knowledge of Spring, Spring Boot, and dependency injection.
• Knowledge of operating systems including Linux, preferably RHEL7+.
• Scripting experience (especially shell, Python).
• Declarative environment management with Terraform or Bicep.
• Composition, packaging and deployment of containers, images, and Helm charts.
• Experience designing and implementing distributed systems.
• Experience working within a SAFe/Agile development framework.
• Relevant Microsoft certifications (DP700-Fabric Data Engineer).

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:  $100,000 to $145,000

May be eligible for bonus following first year of continuous employment in position.

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.