Lead Data Engineer: Scale Data Pipelines & Platform

FedEx Dataworks; Plano (TX); On-site; USD 101,000 - 190,000; Full time

Benefits offered by this job

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Job summary

FedEx Dataworks seeks a data engineering leader to design and drive data pipelines, governance, and scalable data platforms. You will collaborate with data scientists, software engineers, and business teams to enable analysis, modeling, and delivery of data-driven insights.

You will guide end-to-end data engineering efforts, ensure data quality, security, and compliance, and lead large-scale deployments across distributed environments.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering, or related field.
• 5–7 years of experience in data engineering, analytics, or related roles.
• Experience with large-scale data pipelines and data processing at enterprise scale.
• Strong understanding of data quality, governance, and security practices.
• Proficiency with cloud-based data platforms and distributed processing.

Responsibilities

• Design and implement data pipelines for ingestion, transformation, and storage.
• Ensure data quality, accessibility, and governance across platforms.
• Collaborate with data scientists and analysts to meet data requirements.
• Lead code reviews and oversee large-scale deployments.
• Build scalable data architectures and real-time processing solutions.

Skills

Data engineering

Big data processing

Cloud platforms

Data governance

Distributed systems

SQL/NoSQL

Python (data tools)

Code reviews

ETL design

Team collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

Spark

HDFS

Kafka

MySQL

PostgreSQL

MongoDB

Job description

FedEx Dataworks seeks a data engineering leader to design and drive data pipelines, governance, and scalable data platforms. You will collaborate with data scientists, software engineers, and business teams to enable analysis, modeling, and delivery of data-driven insights.

You will guide end-to-end data engineering efforts, ensure data quality, security, and compliance, and lead large-scale deployments across distributed environments.