61920: Data Engineer III

FedEx Freight; Lewisville (TX); On-site; USD 95,000 - 140,000; Full time

Job summary

FedEx Freight, Inc. seeks a Data Engineer III in Lewisville, TX to design, build and maintain data pipelines at big data scale with a hybrid work arrangement. You will tackle data across multiple sources, implement ETL and cloud storage, and drive scalable, secure analytics solutions.

Collaborating with diverse teams and senior technologists, you will champion best practices and deliver high-quality data systems that enable rapid data-driven decisions.

Qualifications

• Master's degree in CS/IS/Math/Engineering with 2+ years' experience in data analytics or related field.
• Alternative: Bachelor's degree with 4+ years experience in measurement and analysis or predictive analytics.
• Experience with Databricks, Azure DataLake, and data visualization in PowerBl.

Responsibilities

• Design, build, test and maintain data pipelines at big data scale.
• Update data from multiple sources and ensure data quality.
• Develop ETL, data ingestion and cloud-based storage solutions.
• Collaborate with senior tech stakeholders and cross-functional teams.
• Implement automation and improve data engineering workflows.
• Ensure security and regulatory compliance in data handling.

Skills

Databricks

Azure DataLake

PowerBl

CI/CD

Programming languages

ML/Data engineering

Data pipelines

Distributed teams

Education

Master's degree in CS/IS/Math/Engineering

Bachelor's degree + 4 years experience

Tools

Git

Job description

INTERNAL/EXTERNAL COMPANY POSTING

Company Name: FedEx Freight, Inc.

Job Title: Data Engineer III

Location: 597 Bennett Lane, Lewisville, TX 75057

Job Description

• 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.
• This position will be hybrid in Lewisville, TX and candidates must live within a 50-mile radius. This position is hybrid, meaning that employees will be required to work at a FedEx Freight office location up to several times per week.

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.

The position requires experience with:

• 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.
• This position will be hybrid in Lewisville, TX and candidates must live within a 50-mile radius. This position is hybrid, meaning that employees will be required to work at a FedEx office location up to several times per week.

EST FedEx Freight, IncFedEx Freight is an Equal Opportunity Employer, including disabled and veterans. If you have a disability and you need assistance in order to apply for a position with FedEx Freight, please e-mail at [e-mail]. FedEx Freight will not discharge or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.