Principal Data Engineer - Remote

Overview

At Seamless.AI, we’re seeking a highly skilled and experienced Principal Data Engineer with expertise in Python, Spark, AWS Glue, and other ETL (Extract, Transform, Load) technologies. The ideal candidate will have a proven track record in data acquisition and transformation, as well as experience working with large data sets and applying methodologies for data matching and aggregation. Strong organizational skills and the ability to work independently as a self-starter are essential for this role.

In Short

• Design, develop, and maintain robust and scalable ETL pipelines.
• Collaborate with cross-functional teams to understand data requirements.
• Implement data transformation logic using Python and relevant frameworks.
• Utilize AWS Glue to create and manage ETL jobs and workflows.
• Optimize ETL processes for improved performance and scalability.
• Apply methodologies for data matching, deduplication, and aggregation.
• Implement data governance practices for compliance and security.
• Explore and adopt new technologies to enhance data processing.

Requirements

• Bachelor's degree in Computer Science or related fields.
• 7+ years of experience as a Data Engineer focused on ETL processes.
• Professional experience with Spark and AWS pipeline development.

Benefits

• Recognized as one of Ohio’s fastest growing companies.
• Best Places to Work awards and high satisfaction ratings.
• Diversity and equal opportunity employer.