Description

Build and maintain scalable data pipelines, warehouses, and lakes using AWS, GCP, or Azure.

This role is remote.

Responsibilities

• Design and implement ELT/ETL processes and data pipelines.
• Manage data warehouses and lakes on cloud platforms.
• Orchestrate workflows using Apache Airflow and dbt.
• Optimize data pipelines for performance and reliability.
• Collaborate with stakeholders to define data requirements.

Required Skills

• 10+ years of experience as a Data Engineer.
• Advanced proficiency in SQL and Python.
• Experience with AWS, GCP, or Microsoft Azure.
• Hands-on experience with BigQuery or Redshift.
• Proficiency in Apache Airflow and dbt.
• US-based in Eastern or Central Time Zone.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Fluent English speaker.

Preferred Skills

• 15+ years of Data Engineering experience.
• Master’s degree in a technical field.
• Experience with Tableau or other BI tools.

Key Skills

Education

Bachelor's degree