Senior Data Engineer: Pipelines, Real-Time & Scale

FedEx Dataworks; Plano (TX); On-site; USD 81,000 - 164,000; Full time

Job summary

FedEx Dataworks seeks a Data Engineer III to design and implement scalable data pipelines, ensuring data quality and accessibility across the enterprise. You will collaborate with data scientists, analysts, and engineers to translate business needs into robust data models and ETL workflows.

The role emphasizes cloud-based processing, real-time and batch transformations, and governance with security standards.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering, or related field or equivalent experience.
• 3-4 years experience in measurement and analysis, quantitative problem solving, simulation or predictive analytics.
• Strong background in software engineering, database systems, distributed systems, and cloud environments.
• Experience with Azure tools for large-scale data engineering is highly preferred.
• Ability to deliver complex data pipelines and collaborate with data scientists and engineers.

Responsibilities

• Design and implement data pipelines to collect, process, and store data efficiently.
• Ensure data quality, integrity, and accessibility across platforms.
• Create data models to support analytics and reporting.
• Collaborate with data scientists, analysts, and stakeholders to understand needs and design schemas.
• Build and manage ETL processes for data integration and automation of ingestion/transformations.
• Monitor and optimize databases; troubleshoot performance issues and ensure security.

Skills

Spark

PySpark

SQL

NoSQL

Python

Data Modeling

Data Quality

Data Governance

Cloud

Git/CI-CD

Education

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

Tools

DataBricks

BigQuery

GCP

Azure

HDFS

Kafka

SQL Databases

NoSQL Databases

Job description

FedEx Dataworks seeks a Data Engineer III to design and implement scalable data pipelines, ensuring data quality and accessibility across the enterprise. You will collaborate with data scientists, analysts, and engineers to translate business needs into robust data models and ETL workflows.

The role emphasizes cloud-based processing, real-time and batch transformations, and governance with security standards.