AI Data Engineer

About

Drive advanced analytics as an AI Data Engineer. Leverage your expertise in data engineering to support ML initiatives while thriving in a hybrid work environment. As an expert in data operations, you'll bring 2+ years of experience to manage the data lifecycle from acquisition to production. Engage with subject matter experts, design ETL/ELT pipelines, and deliver actionable analytics and insights with precision. Your role will bridge engineering and data science, ensuring scalable solutions that enhance decision-making.

Responsibilities

• Evaluate and secure essential data sources efficiently
• Create and optimize robust ETL/ELT pipelines
• Develop analytics dashboards and reporting assets
• Collaborate on model development and implementation
• Provide mentorship and guidance to junior staff

Requirements

• Bachelor's in Computer Science or similar
• 2+ years relevant experience in data roles
• Strong skills in Python, Java, and SQL
• Familiarity with analytics frameworks and visualization tools
• Advanced knowledge of data modeling concepts

Utilize your expertise in data and AI to impact project outcomes positively in this forward-thinking organization.