Data Engineer

📋 Description

• Design, implement, and maintain efficient and scalable data warehouse solutions using SQL, MySQL
• Develop complex queries and procedures to support data extraction, transformation, and loading
• Build and maintain reliable ETL pipelines that move and transform data across multiple systems.
• Use Python to develop data-driven applications, automate recurring tasks, and enhance data
• Design, develop, and maintain Airflow-based pipelines to orchestrate data workflows across
• Optimize data processing workflows and warehouse solutions for scalability, efficiency, and

🎯 Requirements

• Bachelor's degree in Computer Science or a related field.
• At least 3 years of relevant professional experience in data engineering or a related technical
• Strong experience with SQL, MySQL, and Vertica, including designing and maintaining scalable data
• Proven ability to develop complex queries and procedures for ETL and data transformation processes.
• Strong Python skills, particularly for data-driven application development, automation, and
• Hands-on experience designing, developing, and maintaining ETL pipelines.

🎁 Benefits

• Annual base salary range of USD $104,500 – $174,200.
• 100% remote work arrangement from anywhere in the United States.
• Compensation may vary based on work location, relevant experience, and skills.
• Access to company benefits and rewards programs.
• Opportunity to work on scalable data warehouse solutions, ETL pipelines, automation, and
• Inclusive and accessible work environment with reasonable accommodations available throughout the