Senior AWS Data Engineer - Remote

Overview

As a Senior AWS Data Engineer, you will be responsible for building, maintaining, and scaling our core data infrastructure across Redshift, Airflow, and AWS. You will work closely with both Platform and Product Engineering teams to ensure our data systems are secure, reliable, and easy to work with.

In Short

• Design, build, and maintain scalable ETL pipelines using Airflow, dbt, and AWS-native services.
• Manage and optimize Redshift clusters for performance, scalability, and cost-efficiency.
• Own the architecture and lifecycle of our core data infrastructure.
• Collaborate with engineering teams to ensure data is modeled and accessible.
• Define data governance policies and enforce access controls.
• Build observability and alerting into pipelines to catch issues before they impact users.
• Implement monitoring and reliability tools using Datadog.
• Mentor junior team members and promote data engineering best practices.
• Participate in sprint planning, design reviews, and retrospectives.
• Provide strategic input on data design and architecture.

Requirements

• 6+ years of experience in data engineering with a strong focus on AWS environments.
• Deep knowledge of data warehouse design, ETL frameworks, and performance optimization within Redshift and AWS.
• Proficiency in SQL, Python, and data modeling.
• Hands-on experience with Airflow or other orchestration frameworks.
• Strong analytical mindset with a focus on simplifying systems.
• Proven ability to collaborate across teams and support the growth of others.
• Experience with dbt and modular data modeling.
• Familiarity with observability tools like Datadog.

Benefits

• 100% Remote Work.
• Highly Competitive USD Pay.
• Paid Time Off.
• Work with Autonomy.
• Work with Top American Companies.