About Us
FedEx Dataworks is a trailblazer in the logistics industry, shipping nearly 20 million packages per day and managing vast strings of data. We are a forward-thinking organization that is revolutionizing the way we approach data and technology. Our mission is to create a more intelligent supply chain for everyone, and we're looking for talented individuals to join our team.
Job Description
We are seeking an experienced Full Stack Software Engineer to join our team at FedEx Dataworks. As a Full Stack Software Engineer, you will be responsible for designing, developing, and maintaining large-scale software applications that drive business results. You will work closely with cross-functional teams to deliver high-quality solutions that meet the needs of our customers and stakeholders.
Key Responsibilities
- Lead a team responsible for planning, creating, and maintaining all application software and data pipelines for real-time/ batch analysis, modeling, reporting, and data collection, ensuring data reliability, efficiency, and quality.
- Collaborate effectively with various teams in FedEx Dataworks, including Data Science, E-commerce Products, Supply Chain Solutions, and Platform Engineering, to ensure data-driven insights are integrated and maintained within the FedEx enterprise data lake.
- Ensure a team of data engineers designs, deploys, and maintains data processing infrastructure that supports complex analysis across data science, product, application development, and critical groups.
- Ensure adherence to best practices to guarantee reliability, flexibility, security, privacy, and compliance for all data assets.
- Manage the ingestion of data sources into the FedEx enterprise data lake.
- Support incident management processes to ensure high-quality data is available to data lake consumers.
- Resolve issues and communicate team activity status to senior management.
- Ensure proper data management, data stewardship, and data awareness practices are applied to data residing in the FedEx enterprise data lake.
- Provide sufficient staffing, financial, and legal oversight for a team of data engineers.
- Mentor and coach other colleagues to drive results and collaborate effectively across cross-functional teams to deliver business objectives.
Requirements
To be successful in this role, you will need:
Essential Qualifications
- A Bachelor's degree in Computer Science, Data Science, or a related quantitative field, or equivalent experience.
- Broad knowledge of data engineering and AI frameworks, including design, development, and deployment of highly complex systems and data pipelines.
- Broad knowledge of data science frameworks, including design, development, and deployment of large-scale or online transaction-based systems.
- Strong understanding of the logistics industry, competitors, and emerging technologies.
- Experience providing leadership in a general management or consulting setting.
- Experience as a leader or senior member of multi-functional project teams.
- Strong oral and written communication skills.
Preferred Qualifications
- Master's degree in Computer Science, Data Science, or a related quantitative field, or equivalent experience.
- Experience working in Big Data technologies like Hadoop, Spark, and NoSQL databases.
- Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
- Experience with data visualization tools like Tableau, Power BI, or D3.js.
- Experience with agile development methodologies like Scrum or Kanban.
Skills and Competencies
To succeed in this role, you will need:
- Strong problem-solving skills and ability to think creatively.
- Ability to make value-driven trade-offs and prioritize tasks effectively.
- Capacity to drive change to support distributed teams and unblock particularly challenging technical obstacles.
- A design mindset ready to make quick, practical decisions to improve performance and accelerate progress.
- Experience in the transportation industry and understanding of emerging technologies.
- Knowledge of analyzing large-scale structured and unstructured data using Scala and Python.
- Experience working with Big Data technologies like Hadoop, Spark, and NoSQL databases.
- Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
Career Growth Opportunities and Learning Benefits
We offer a range of career growth opportunities and learning benefits, including:
- Professional development programs to help you grow in your career.
- Opportunities to work on high-impact projects that drive business results.
- Collaboration with cross-functional teams to deliver innovative solutions.
- Access to cutting-edge technologies and tools to stay ahead of the curve.
- Opportunities to mentor and coach junior colleagues to drive results.
Work Environment and Company Culture
We offer a dynamic and inclusive work environment that values diversity, equity, and inclusion. Our company culture is built on the principles of collaboration, innovation, and customer obsession. We are committed to creating a workplace that is safe, respectful, and supportive of all employees.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:
- Monthly salary range of $35,000 - $40,000.
- Health, dental, and vision insurance.
- Paid life and AD&D insurance.
- Education assistance.
- Paid sick leave.
- Paid parental leave.
- Paid vacation time.
- Geographic pay ranges.
- 401(k) with company match and performance-based bonus potential.
- Sales performance bonus for sales roles.
How to Apply
If you are a motivated and talented individual who is passionate about data engineering and innovation, we encourage you to apply for this role. Please submit your application, including your resume and a cover letter, by [insert deadline]. We look forward to hearing from you!
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