Lead Data Engineer (AWS Cloud, Python, Distributed Data Processing)

Role Overview

We are seeking a Lead Data Engineer with extensive experience as a hands-on developer to join our fast-paced data engineering organization. This role is critical in building new data products and modernizing existing data platforms.

What You Will Do

Design, build, and maintain scalable, production-grade data pipelines and data products. Develop and optimize ETL/ELT workflows using Python and distributed data processing technologies.

Why It Might Be a Fit

The ideal candidate is a seasoned data engineer with a strong background in designing, coding, and optimizing large-scale data pipelines, working deeply with Python, distributed data processing frameworks, and SQL across both on-premises and cloud environments.

Requirements

• 8+ years of experience in data engineering or a closely related technical role
• Strong background as a hands-on developer building data pipelines and data-intensive systems
• Advanced proficiency in Python and distributed data processing, including ETL/ELT development
• Strong expertise in SQL, data modeling, and query optimization
• Deep experience working with relational databases, including performance tuning and data extraction
• Hands-on experience developing data solutions in cloud environments
• Experience writing and maintaining infrastructure-as-code scripts for data platform infrastructure
• Solid understanding of distributed data processing concepts and architectures

Benefits

• Equal employment opportunity (EEO)
• Reasonable accommodations for qualified individuals with disabilities