Data Engineer - Remote

Overview

The Data Engineer will design and maintain data pipelines, architectures, and workflows that power AI-driven applications, working closely with AI specialists and business teams.

In Short

• Design and maintain efficient data pipelines for AI content generation and analytics.
• Develop and optimize ETL processes from diverse sources for real-time insights and AI performance.
• Build data science models to derive insights from AI content and customer data.
• Implement systems for data-driven decisions in content strategy and customer engagement.
• Manage cloud infrastructure (AWS) for AI applications and optimize data storage and processing.

Requirements

• 4 – 6 years of experience in data engineering or data science.
• Strong programming skills in Python and SQL.
• Experience building ETL pipelines and real-time data streaming (Apache Airflow, Kafka, or similar tools).
• Proficiency in AWS with expertise in serverless data processing and large-scale data storage.
• Strong knowledge of database management (SQL, NoSQL, vector databases).
• Experience building data crawlers and integrating external data sources into workflows.
• Experience working with vector databases or orchestrating RAG (Retrieval-Augmented Generation) pipelines.

Benefits

• Competitive salary and PTO.
• Work in a dynamic and innovative environment.
• Opportunity to work on cutting-edge AI technologies.