Senior Data Engineer (AWS)

TL;DR

Senior Data Engineer (AWS): Building and supporting production data systems and data warehouse schemas with an accent on ETL/ELT pipeline development. Focus on designing scalable data architectures using AWS Glue and Airflow, optimizing SQL performance, and mentoring engineering team members.

Location: Orlando, FL, United States

Salary: $100,000–$125,000

What you will do

• Design and develop robust data pipelines using AWS Glue and Airflow.
• Build and maintain data warehouse schemas and multidimensional data marts.
• Develop complex stored procedures, functions, and ETL/ELT processes.
• Monitor production data systems and troubleshoot performance issues.
• Tune SQL queries and database indexes for optimal performance.
• Mentor junior data engineers and report project status to management.

Requirements

• Must be based in or able to work from Orlando, FL, United States.
• Extensive experience with AWS data services including Redshift and Glue.
• Strong proficiency in SQL and Python for data engineering tasks.
• Proven experience in designing data warehouse schemas and ELT/ETL workflows.
• Ability to provide on-call production support and communicate effectively with business stakeholders.