Data Engineer III/Senior (Analytics)

About the role

Expeditors is seeking a highly skilled and hands-on Data Engineer III or Senior Data Engineer (Analytics Focus) to design, build, and support enterprise analytics solutions, data models, and reporting experiences that enable data-driven decision making across the organization. This is first and foremost an analytics-focused data engineering role.

Responsibilities

The successful candidate will be responsible for developing and maintaining enterprise data models, semantic layers, reporting datasets, and analytical applications that support operational reporting, executive dashboards, self-service analytics, and advanced business insights.

• Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI.
• Design and develop semantic models and reporting datasets that support self-service analytics and executive reporting.
• Creating intuitive, user-focused reporting experiences that improve data visibility and decision making.
• Translating complex business requirements into scalable analytical solutions.
• Establishing data quality standards and validation processes that ensure trust in reporting.
• Optimizing analytics solutions for performance, usability, and maintainability.
• Leading data design discussions and influencing data architecture and modeling best practices.
• Collaborating effectively with business stakeholders to define KPIs, metrics, and reporting requirements.
• Mentoring team members and promoting engineering excellence through collaboration, design reviews, and knowledge sharing.

Qualifications

Minimum Qualifications: Bachelor’s degree with 5+ years, or Master’s with 3+ years, or equivalent experience for Data Engineer III; Bachelor’s degree with 10+ years, Master’s with 5+ years, or PhD with 3+ years for Senior Data Engineer.

• Advanced proficiency in designing, developing, and optimizing enterprise data models and semantic layers that support scalable analytics.
• Demonstrated expertise in developing scalable reporting and analytics solutions using enterprise visualization tools.
• Knowledge of data governance, data privacy regulations (e.g., GDPR, CCPA), and best practices for ensuring data security and compliance.
• Expert-level proficiency in writing, optimizing, and troubleshooting complex SQL queries across multiple databases.

Desired Qualifications

• Proven expertise designing and implementing end-to-end analytics solutions using Microsoft Fabric and Databricks, including data modeling, semantic layer development, performance optimization, and analytics architecture.
• Expert proficiency in data visualization applications, including Power BI, Tableau, and Python visualization libraries (e.g., Matplotlib, Seaborn, Plotly).
• Experience implementing Git-integrated CI/CD frameworks for Microsoft Fabric, Databricks, and analytics platforms, including automated validation, deployment pipelines, release governance, and measurement of engineering performance through DORA metrics.
• Relevant certifications in Analytics and Cloud platforms (Databricks Data Engineer Professional, Power BI Data Analyst, Azure Solutions Architect Expert).

Benefits

• Paid Vacation, Holiday, Sick Time.
• Health Plan: Medical, Prescription Drug, Dental and Vision.
• Life and Long Term Disability Insurance.
• 401(k) Retirement Savings Plan (US only).
• Employee Stock Purchase Plan.
• Training and Personnel Development Program.

Pay and Schedule

The annual salary for this position is between $130,000 to $170,000 depending on level and location. The position is an in-office/onsite position that is based in one of the specified locations, with 26 remote days per year available. The position is full time (40 hours per week) Monday through Friday (in office).