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Fedex Data Engineer Jobs (NOW HIRING)

FedEx

Cloud Engineering Advisor

Memphis, TN · On-site

$49.75 - $66.50/hr

... site at a FedEx location several times per week. Summary As a Platform Engineer you will be ... In this role the candidate must be able to identify various patterns for data acquisition ...

FedEx Group

Platform Engineering Advisor

Memphis, TN · On-site

$100 - $125/hr

Building upon pattern identifications this person will be responsible for collaborating with engineers and architects to develop analytical frameworks which will be the foundation of FedEx's Data and ...

FedEx Group

$100 - $125/hr

Data Governance & Architecture * Strong understanding of modern data governance, including ... Skilled in one or more programming languages (Java / Python) used by FedEx. * Knowledge and ...

FedEx

Sr Engineer

Miami, FL · On-site

$99K - $137K/yr

... data and developing models and analytical tools for use by engineers and operations. Transform ... Optimizes FedEx's Latin America air network via tactical scheduling, capacity management, and ...

FedEx

Platform Engineering Advisor

Plano, TX · On-site

$8.8K - $12K/mo

Google Professional Cloud Architect required/ Professional Data Engineer/Professional Cloud Network ... Employees will be required to work at the FedEx campus location several times per week. Pay Plano ...

FedEx Group

Sr Engineer

Miami, FL · On-site

$100 - $125/hr

... data and developing models and analytical tools for use by engineers and operations. Transform ... Ability to develop and lead technical training Additional Details Optimizes FedEx's Latin America ...

FedEx Group

AI Engineer III

Memphis, TN · On-site

$125 - $150/hr

Candidates residing within 50 miles of a FedEx campus will be required to work on-site at a FedEx ... The AI Engineer collaborates closely with Data Scientists, Data Engineers, ML Ops Engineers, and ...

FedEx

AI Architect Principal - AI Foundation

Memphis, TN · On-site

$7.8K - $13K/mo

This role will require the following skill sets and expertise: * 5+ years of data engineering ... Skilled in one or more programming languages (Java / Python) used by FedEx. * Knowledge and ...

FedEx Group

$125 - $150/hr

Candidates residing within 50 miles of a FedEx campus will be required to work on-site at a FedEx ... The AI Engineer collaborates closely with Data Scientists, Data Engineers, ML Ops Engineers, and ...

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How much do fedex data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for fedex data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Fedex Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Cloud Engineering Advisor

Memphis, TN • On-site

FedEx
Couriers and Messengers Services • 10K+ employees
Learn more about FedExexternal

$49.75 - $66.50/hr

Full-time

Posted 7 days ago

FedEx rating

6.6

Company rating: 6.6 out of 10

Based on 1,110 frontline employees who took The Breakroom Quiz

45th of 64 rated delivery companies

Job description

Domicile Information
This is a hybrid position in Plano, TX (first preference), Memphis, TN, or Pittsburgh, PA. Candidates residing within 50 miles of a FedEx campus will be required to work on-site at a FedEx location several times per week.
Summary
As a Platform Engineer you will be responsible for the development, integration and management of technical frameworks deployed within private, public, and/or hybrid cloud platforms ensuring performance and scalability of complex analytical applications. In this role the candidate must be able to identify various patterns for data acquisition, processing, and management with respect to differing data types, volume, velocity, and accessibility requirements supporting BI /AI /ML based applications. Building upon pattern identifications this person will be responsible for collaborating with engineers and architects to develop analytical frameworks which will be the foundation of FedEx's Data and Analytics Platform. The summation of the frameworks will ensure the platform, data, and derived BI /AI /ML applications are scalable, reliable, and performant while balancing security, maintainability, reliability, and operational excellence.
Essential Functions
Model Development & Implementation
  • Write clean, efficient, modular, and well-documented Python code to develop and implement machine learning, deep learning, and generative AI models supporting diverse business use cases.
  • Build scalable data engineering, feature transformation, and preprocessing workflows using BigQuery, Cloud Dataflow (Apache Beam), and Cloud Storage (GCS).
  • Continuously optimize model inference latency, throughput, and compute resource utilization on GCP infrastructure (GPUs/TPUs).

ML Pipelines & Operations (MLOps)
  • Design, develop, and maintain automated ML pipelines for data extraction, training, hyperparameter tuning, evaluation, and deployment using Vertex AI Pipelines (Kubeflow Pipelines / TFX).
  • Package and deploy models to production using Vertex AI Endpoints, Cloud Run, or Google Kubernetes Engine (GKE) with containerized Python runtimes.
  • Implement end-to-end MLOps observability using Vertex AI Model Monitoring, Vertex ML Metadata, Cloud Logging, and Cloud Monitoring to detect data/concept drift, anomalous inputs, and latency regressions.
  • Define and own the operational readiness of AI services by implementing Service Level Objectives (SLOs) (e.g., p50/p95/p99 latency, uptime) and automated alerting.

Collaboration & Integration
  • Partner closely with Data Scientists and Research Engineers to transition experimental Python prototypes and Jupyter notebooks (Vertex AI Workbench) into robust, production-grade microservices.
  • Expose AI models via high-performance REST/gRPC APIs using modern Python frameworks (e.g., FastAPI) and integrate them into enterprise applications and data pipelines.
  • Ensure transparency and interpretability of model predictions using Vertex Explainable AI (Feature Attributions, Integrated Gradients, SHAP).

Governance & Strategy
  • Enforce enterprise security, compliance, and responsible AI governance across GCP workloads using IAM best practices, VPC Service Controls, and Secret Manager.
  • Evaluate and prototype emerging GenAI capabilities within the GCP ecosystem-including Gemini models via Vertex AI Model Garden, Vertex AI Agent Builder, and fine-tuning techniques.

Preferred Knowledge, Skills, and Abilities
Core Technical & AI Proficiency (Python-First)
  • Advanced Python: Mastery of modern Python (3.10+), object-oriented programming, asynchronous programming (asyncio), API development (FastAPI/Flask), packaging, and testing (pytest).
  • Machine Learning & Deep Learning: Deep expertise in ML algorithms and modern deep learning frameworks (PyTorch, TensorFlow, JAX, or Hugging Face Transformers).
  • Generative AI & LLMs: Proven experience building LLM-powered applications, RAG pipelines, and agentic workflows using Vertex AI Studio / Model Garden (Gemini), Vertex AI Vector Search, and orchestration frameworks like LangChain, LangGraph, or LlamaIndex.
  • Data Manipulation & Querying: High proficiency in SQL, BigQuery (including BigQuery ML), and Python data libraries (Pandas, Polars, PyArrow).

End-to-End ML Lifecycle on GCP
  • Extensive hands-on experience across the Vertex AI suite:
  • Model Training (Custom training jobs, distributed GPU training)
  • Model Registry & Endpoint Hosting (Online, Batch, and Serverless prediction)
  • Feature Store & Dataset Management
  • Vertex AI Pipelines & Experiments tracking
  • Experience building ETL/ELT pipelines using Cloud Dataflow (Apache Beam in Python), Cloud Dataproc (PySpark), or Cloud Composer (Apache Airflow).

Software & MLOps Engineering
  • CI/CD & Automation: Experience building automated CI/CD workflows for ML using Cloud Build, GitHub Actions, or GitLab CI integrated with Artifact Registry.
  • Containerization & Orchestration: Strong knowledge of Docker and deployment patterns on Cloud Run or Google Kubernetes Engine (GKE).
  • Infrastructure as Code (IaC): Working knowledge of provisioning GCP AI/ML infrastructure using Terraform.
  • Testing & Quality Assurance: Experience implementing comprehensive test suites (unit, integration, load testing with Locust, and LLM evaluation benchmarks).

Cloud & Platform Security
  • Deep understanding of GCP cloud architecture, including networking (VPCs, private endpoints), service accounts, IAM roles, and data residency/security guardrails.

Collaboration & Application Delivery
  • Strong problem-solving skills with experience working in Agile/Scrum methodologies.
  • Strong communication skills to articulate ML architectures and trade-offs to engineering teams and business stakeholders.
  • (Bonus) Familiarity with rapid UI prototyping tools in Python (Streamlit, Gradio) or frontend frameworks (React, Next.js) to demo and test AI solutions.

Minimum Education
Bachelor's Degree/equivalent in computer science, engineering, or information systems and/or equivalent formal training or work experience.
Minimum Experience
Five to seven (5 -7) years' work experience in Platform Engineering or related field. Familiarity with conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-function project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Preferred Qualifications:
Pay Transparency:
Pay: Plano, TX and Pittsburgh, PA: $106,763 to 144,131.16/annually. Memphis, TN: $101,425 to 136,924.56/annually
Additional Details:
For details on our comprehensive benefits, click here
Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.
Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.
Applicants have rights under Federal Employment Laws:
  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)

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About FedEx

Sourced by ZipRecruiter

On our first day of operations, we delivered 186 packages. Now, we deliver millions every day, all over the globe. Collaboration and innovation fueled our growth. Dedication to an outstanding customer experience drives us to where now meets next

Industry

Couriers and messengers services, trucking, printing and printing services and retail

Company size

10,000+ Employees

Headquarters location

Memphis, TN, US

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