61920: Data Engineer III

Responsibilities

Supports the design, build, test and maintenance of data pipelines at big data scale

Assists with updating data from multiple data sources

Resolve build tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models, and drive decisions

Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines

Championing the adherence to best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases

Interacting with senior technologists from the broader enterprise and outside of FedEx to create synergies and ensure smooth deployments to downstream operational systems

Design, implement and optimize ETL processes, data ingestion, and integration workflows on cloud environments

Implement best practices for data management, including data quality and security

Implement cloud-based data storage solutions, leveraging technologies for performance and cost efficiency

Identify opportunities for automation and process improvement within the data engineering workflow

Stay updated with emerging technologies and trends in data engineering to enhance our systems and processes

Comply with all applicable laws/regulations, as well as company policies/procedures

Perform other duties as assigned

Benefits

Hybrid work arrangement in Lewisville, TX, with employees required to work at a FedEx Freight office location up to several times per week

Glassdoor

3.7

FedEx Freight is a shipping company that provides logistics solutions for doorstep and less-than-truckload deliveries,.

Memphis, Tennessee, USA

https://www.fedexfreight.com

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Engineering and Development

Management and Executive

Product Management

Customer Service and Support

Accounting and Finance

Marketing

Human Resources

Trends of Total Sponsorships

*2026

(131)

2025

(38)

2024

(21)

2023

(12)

2022

(18)

2021

(23)

2020

(14)

Qualifications

Master's degree in Computer Science, Information Systems, Mathematics, Engineering, or a related field plus 2 years of experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics

As an equivalent alternative, the employer will accept a Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering, or a related field plus 4 years of experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics

Develop Data engineering pipelines and Al/ML using Databricks

Azure DataLake

Develop dashboards and reports for Data analysis using PowerBl

Cl/CD setup for automating the build and deployment process

Proficiency in programming/scripting languages commonly used in data engineering and experience with application or UI frameworks

Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value. Comfort with working with distributed teams on code based deliverables, using version control systems and code reviews. Proven track record of solving complex problems and delivering high-quality, scalable solutions

Extensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines

Extensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems

Master’s degree in Computer Science, Information Systems, Mathematics, Engineering, or a related field plus 2 years of experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics.

As an equivalent alternative, the employer will accept a Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering, or a related field plus 4 years of experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics.

Required skills

Data Engineering, Databricks, Azure Data Lake, Power BI, CI/CD, Machine Learning, Predictive Analytics, Simulation Development, Measurement and Analysis, Quantitative Business Problem Solving

Experience

2+ years