Senior Data Engineer - Remote

Overview

The Senior Data Engineer will be responsible for building, optimizing, and maintaining data pipelines and architectures that support analytics, reporting, and AI initiatives within a fast-growing company focused on AI for customer engagement.

In Short

• Design and maintain scalable data pipelines and ETL processes.
• Build and maintain data architectures including databases and data lakes.
• Collaborate with data analysts and scientists to support data needs.
• Optimize data workflows for performance and reliability.
• Implement data quality and governance practices.
• Integrate data from various sources.
• Document data pipelines and schemas.
• Troubleshoot pipeline performance and failures.

Requirements

• 5+ years of data engineering experience.
• Proficiency in SQL and at least one programming language (Python, Golang, Scala).
• Experience with ETL tools like Apache Airflow.
• Familiarity with cloud platforms (AWS or GCP).
• Experience with distributed data processing frameworks (e.g., Apache Spark).
• Strong understanding of data modeling and warehousing best practices.
• Expertise in backend languages and microservices.
• Solid understanding of databases and data architecture.
• Experience with ML and LLM-powered systems.
• Excellent collaboration and communication skills.

Benefits

• Competitive salary and equity.
• Remote or hybrid work environment.
• Medical, dental, and vision benefits.
• 401(k) plan.
• Flexible PTO.
• Opportunity to build in a high-growth environment.