Data Engineer III/Senior (Analytics)

Expeditors

Ellenwood (GA)

On-site

USD 130,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Paid Vacation

Health Plan: Medical, Prescription, &

Life and Long Term Disability

401(k) Retirement Savings Plan

Employee Stock Purchase Plan

Training and Personnel Development

Confidential information kept under E◦

Job summary

Expeditors seeks a Data Engineer III or Senior Data Engineer (Analytics Focus) to design, build, and support enterprise analytics solutions and reporting experiences that empower data-driven decisions across the organization.

The role focuses on data modeling, analytics engineering, and modern BI solutions, working with product teams and stakeholders to ensure reliable data foundations and scalable analytics for 70+ offices globally.

Qualifications

Bachelor’s degree with 5+ years, or Master’s with 3+ years, or equivalent experience
Bachelor’s degree with 10+ years, Master’s with 5+ years, or PhD with 3+ years
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

Responsibilities

Lead the development of enterprise data models, semantic layers, analytics solutions, and reporting datasets that provide trusted and scalable business insights.
Establish and promote best practices for data quality, testing, automation, observability, version control, CI/CD and operational excellence across analytics solutions.
Provide technical leadership through code reviews, solution design guidance, and mentorship of engineers on performance, maintainability, scalability, and solution quality.
Design scalable data models, reporting architecture, and analytics solutions that support current and future business needs.
Partner with architects and engineering leaders to ensure solutions align with enterprise engineering principles and standards for metric governance, semantic modeling, and analytics solutions.
Collaborate with engineering, architecture, product, and business teams to deliver high-impact analytics capabilities.
Serve as a trusted technical partner translating business requirements into actionable data and reporting solutions.
Mentor team members through coaching, knowledge sharing, and constructive technical feedback.
Advocate for analytics engineering best practices, standardized metrics, and data-driven decision making across teams and department.
Communicate technical concepts, data insights, and solution recommendations to both technical and non-technical audiences.
Influence reporting, data modeling, and analytics strategies through active participation in architectural and business discussions.
Develop and communicate a strategic vision for analytics, reporting, and data visibility solutions aligned to business priorities.
Identify opportunities to improve organizational visibility, operational performance, and analytical capabilities by balancing immediate delivery needs with long-term sustainability, scalability, and maintainability of analytics solutions.
Develop a deep domain knowledge of logistics operations, understanding business processes and KPIs to guide solution design.
Ensure analytics solutions deliver actionable insights that support measurable business outcomes and operational improvements.
Continuously improve the usability, accessibility, and effectiveness of data products, reports, and analytical experiences for end users.

Skills

Microsoft Fabric

Databricks

SQL

Python

Power BI

Data modeling

Analytics engineering

CI/CD

Data governance

Education

Bachelor’s degree

Master’s degree

PhD

Tools

Microsoft Fabric

Databricks

Git CI/CD

Tableau

Job description

“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.

15,000 trained professionals
250+ locations worldwide
Fortune 500
Globally unified systems

We areseekinga 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 isfirstand foremostan analytics-focused data engineering role.The ideal candidate has strongexpertisein data modeling, analytics engineering, Microsoft Fabric, Databricks, Python development, and modern business intelligence solutions.The successful candidate willberesponsible fordeveloping andmaintainingenterprise data models, semantic layers, reporting datasets, and analytical applications that support operational reporting, executive dashboards, self-service analytics, and advanced business insights.

This role sits within the engineering discipline and works closely withproduct teams, platform engineers, architects, and business stakeholdersto ensure enterprise reporting and analytics solutions are built on reliable data foundations, aligned with businessobjectives, and capable of scaling with future needs.

This position supports the Americas geography under the IS organization and contributes to initiatives that enhance operations across 70+ offices in multiple countries.

A Successful Data Engineer III / Senior Data Engineer:

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.

Major Duties and Responsibilities

Technical Depth and Delivery

Lead the development of enterprise data models, semantic layers, analytics solutions, and reporting datasets that provide trusted and scalable business insights.
Establish and promote best practices for data quality, testing, automation, observability,version control, CI/CDand operational excellence across analytics solutions.
Provide technical leadership through code reviews, solution design guidance, and mentorship of engineerson performance, maintainability, scalability, and solution quality.

Architectural Scale

Design scalable data models, reporting architecture, and analytics solutions that support current and future business needs.
Partner with architects and engineering leaders to ensure solutions align with enterprise engineering principles and standards for metric governance, semantic modeling, and analytics solutions.
Evaluates scale on solution footprint

Team Collaboration Scale

Collaborate with engineering, architecture, product, and business teams to deliver high-impact analytics capabilities.
Serve as a trusted technical partner in translating business requirements into actionable data and reporting solutions.
Mentor team members through coaching, knowledge sharing, and constructive technical feedback.

Influence and Advocacy

Advocate for analytics engineering best practices, standardized metrics, and data-driven decision making across teams and department.
Communicate technical concepts, data insights, and solution recommendations to both technical and non-technical audiences.
Influence reporting, data modeling, and analytics strategies through active participation in architectural and business discussions.

Scope of Vision

Develop and communicate a strategic vision for analytics, reporting, and data visibility solutions aligned to business priorities.
Identify opportunities to improve organizational visibility, operational performance, and analytical capabilities by balancing immediate delivery needs with long-term sustainability, scalability, and maintainability of analytics solutions.

Scale of Business Understanding and Impact

Develop a deep domain knowledge of logistics operations, understanding business processes and key performance metrics to guide solution design.
Ensure analytics solutions deliver actionable insights that support measurable business outcomes and operational improvements.
Continuously improve the usability, accessibility, and effectiveness of data products, reports, and analytical experiences for end users.

Minimum Qualifications(Levelled at Offer)

Data Engineer III:

Bachelor’s degree with5+ years, orMaster’swith 3+ years,or equivalent experience

Senior Data Engineer:

Bachelor’s degree with 10+ years,Master’swith 5+ years, or PhD with 3+ years

For both levels:

Advancedproficiencyin designing, developing, and optimizing enterprise data models and semantic layers that support scalable analytics.
Demonstratedexpertiseindeveloping 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-levelproficiencyin writing, optimizing, and troubleshooting complex SQL queries across multiple databases

Desired Qualifications

Provenexpertisedesigning and implementing end-to-end analytics solutions using Microsoft Fabric and Databricks, including data modeling, semantic layer development, performance optimization, and analytics architecture.
Expertproficiencyin 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)

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 these locations.

Atlanta GA
- 2764 Anvilblock Rd, Ellenwood, GA 30294, USA
Detroit MI
- Romulus Ave, Romulus, MI 48174, USA
Edison NJ
- 150 Raritan Center Pkwy, Edison, NJ 08837, USA
Dallas TX
- 1101 Valley View Ln, Irving, TX 75061, USA

Expeditors also offers 26 remote days per year that can be used as needed.

Position is full time (40 hours per week) Monday through Friday (in office).We are an office business attire company.

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.

Expeditors offers excellent benefits