Senior Data Engineer

At Fed Ex Express, we believe that a connected world is a better world. We connect people and possibilities with our diverse portfolio of transportation, e-commerce, and business solutions. Today, our networks reach more than 220 countries and territories, linking more than 99 percent of the world’s GDP. Fed Ex is consistently recognized as one of the most admired brands in the world and one of the best places to work.

Our people are the foundation of our success and the key to our future. At Fed Ex, we are as diverse as the world we serve. We leverage our diverse talents, experiences and ideas to be more responsive to customer challenges, spark creative solutions, and adapt to change. Fed Ex is an equal opportunity / affirmative action employer (minorities/females/disability/veterans) committed to a diverse workforce.

What can you expect as a Fed Ex team member?

• Career Mobility and Development:
  When you join Fed Ex, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
• Total Compensation and Benefits Package:
  We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Our greatest asset at Fed Ex is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are. We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity.

We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities.

• Data Engineering: Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources.
• System Architecture for Analytics: Build scalable data systems that support analytics, machine learning, and business intelligence use cases within the logistics domain, in close collaboration with solution architects.
• Cross-Functional Collaboration: Work closely with data analysts, product owners, architects, and other stakeholders to understand data requirements and deliver effective technical solutions.
• System Optimization: Continuously enhance existing data infrastructure to improve performance, scalability, and reliability.
• Data Quality Assurance: Implement validation and monitoring processes to ensure data accuracy, consistency, and integrity across systems.
• Monitoring & Issue Resolution: Proactively monitor data pipelines and address issues promptly to minimize disruptions and ensure smooth operations.
• Mentorship & Team Development: Support the growth of junior data engineers through code reviews, debugging assistance, and career development guidance.
• Project Participation: Contribute to projects across all stages—from proof of concept (POC) and minimum viable product (MVP) to full‑scale production—within teams ranging from small groups to large cross‑functional units.

• Python Programming & Software Engineering
• Data Warehousing & Data Modeling
• SQL and relational databases
• Concurrency and Multithreading
• Cloud and Azure
• CI/CD
• Version Control