Data engineer h1.location_city

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.