Data Engineer III/Senior (AI and Gen AI) at Expeditors

Edison, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jul, 26

Salary

150000.0

Posted On

18 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Generative AI, Python, SQL, Azure, LLMs, RAG, Data Pipelines, CI/CD, Infrastructure as Code, Terraform, Bicep, Data Platforms, Cloud-native Development, System Architecture, Technical Leadership

Industry

Logistics;Transportation;Supply Chain and Storage

Description

Company 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 Job Description We are seeking a highly skilled and hands-on Data Engineer III or Senior Data Engineer to design, build, and operate enterprise-scale data pipelines, data products, and data platforms, with a strong emphasis on incorporating Generative AI capabilities into production systems. This is first and foremost a data engineering role. The successful candidate will own the development of reliable, scalable, and observable data systems that power analytics, applications, and operational workflows, while also integrating LLM-based and AI-enabled features where they add clear business value. This role sits within the engineering discipline and works closely with the architecture community. You will partner with data scientists, product teams, platform engineers, architects, and business stakeholders to ensure that AI capabilities are embedded within well-designed data systems, not built in isolation. This position supports the Americas geography under the Global Technology organization and contributes to initiatives that enhance operations across 70+ offices in multiple countries. A successful Data Engineer III / Senior Data Engineer: Builds and operates production-grade data pipelines, data platforms, and data products Incorporates AI and Generative AI capabilities into data systems in a pragmatic, maintainable way Designs systems that balance scalability, reliability, cost, security, and observability Raises the bar for engineering quality and operational excellence Acts as a technical leader and mentor, influencing design decisions and standards across teams Major Duties and Responsibilities Data Engineering & Data Platforms Design and implement scalable data ingestion, transformation, and serving pipelines Build and operate data products and shared data services that support analytics and applications Ensure data quality, lineage, reliability, and observability across systems Manage dependencies and impacts across adjacent platforms and downstream consumers AI & Generative AI Enablement Integrate Generative AI capabilities (LLMs, embeddings, RAG patterns, agentic workflows) into data pipelines, products, and services Design AI-enabled components that align with enterprise-scale data and platform architectures Ensure AI features meet governance, compliance, security, and observability requirements Partner with data scientists to productionize AI models and experiments within data platforms Cloud-Native Azure Development Design, deploy, and operate cloud-native data and AI systems on Azure Implement Infrastructure as Code (e.g., Bicep, Terraform) for secure, repeatable environments Build and maintain CI/CD pipelines supporting frequent, safe production releases Contribute to engineering standards for data and cloud platforms Operational Excellence Own or share responsibility for the operational health of data and AI systems Participate in on-call rotations and contribute to resilient, self-healing architectures Optimize systems for performance, reliability, and cost at scale Demonstrate strong incident response and operational decision-making Technical Leadership & Collaboration Lead or significantly contribute to technical designs for data and AI-enabled systems Mentor engineers and reinforce data and engineering best practices Partner with architects, managers, and stakeholders to align systems with business goals Advocate for modern data engineering and AI platform patterns across teams Qualifications Minium Qualifications (Levelled at Offer) Data Engineer III: Bachelor’s degree with 5+ years, or Master’s with 3+ years, or equivalent experience Senior Data Engineer: Bachelor’s degree with 10+ years, Master’s with 5+ years, or PhD with 3+ years For both levels: Proven experience building and operating production-grade data pipelines and systems Experience incorporating AI or Generative AI capabilities into data-driven systems Experience with CI/CD, containerization, and modern DevOps practices Ability to design reliable, observable, and secure data platforms Strong proficiency in Python and SQL Desired Qualifications Experience with Azure-native data and platform services Familiarity with LLMs, embeddings, RAG architectures, and AI orchestration frameworks Experience deploying systems with governance, security, and compliance requirements Background in platform engineering or internal data platforms Experience mentoring engineers or leading cross-team technical initiatives Additional Information The annual salary for this position is between $130,000 to $150,000. 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 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 All your information will be kept confidential according to EEO guidelines. For internal applicants, should you be interested in applying for this position, please discuss this opportunity with your supervisor. Compensation: USD 130000 - USD 150000 - yearly

Responsibilities

Design, build, and operate enterprise-scale data pipelines and platforms while integrating Generative AI capabilities into production systems. Collaborate with cross-functional teams to ensure AI features are embedded within reliable, scalable, and observable data architectures.