Principal Data Engineer – Platform & Pipelines Leader

FedEx Dataworks; Plano (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

FedEx Dataworks is seeking a Data Engineer Principal to lead enterprise-wide data engineering initiatives, setting standards and guiding the ingestion, transformation, and pipelining of data assets for internal and external data products. You will mentor engineers, review code, and drive large-scale deployments to support data-driven decision making.

Responsibilities include designing reusable data assets, advancing Dataworks capabilities with cutting-edge tools, and collaborating with data

Qualifications

• Seven plus years of experience in data measurement/analysis and predictive analytics.
• Extensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines.
• Knowledge of information systems, design, development and implementation of large batch or online systems.
• Strong understanding of the transportation industry and evolving technologies.

Responsibilities

• Understand in depth both the business and technical problems Dataworks aims to solve.
• Build tools, platforms and pipelines to enable teams to clearly analyze data, build models and drive decisions.
• Scale from laptop-scale to cluster-scale problems, including infrastructure and technique.
• Deliver tangible value rapidly, collaborating with diverse teams.
• Codify best practices for reuse as patterns, templates and code bases.

Skills

Data pipelines

Data governance

Real-time processing

Big data tools

Cloud platforms

CI/CD

Machine learning basics

Education

Bachelor's degree in information systems/computer science

Tools

DataBricks

BigQuery

GCP

Job description

FedEx Dataworks is seeking a Data Engineer Principal to lead enterprise-wide data engineering initiatives, setting standards and guiding the ingestion, transformation, and pipelining of data assets for internal and external data products. You will mentor engineers, review code, and drive large-scale deployments to support data-driven decision making.

Responsibilities include designing reusable data assets, advancing Dataworks capabilities with cutting-edge tools, and collaborating with data