Data Engineer - Remote

Overview

As a Data Engineer at QAD, you will be integral to advancing AI/ML initiatives by ensuring data is reliable and scalable for model development and production.

In Short

• Work in a virtual-first environment with occasional office travel.
• Design and build robust ETL/ELT pipelines for data processing.
• Collaborate with Data Scientists to maintain data infrastructure.
• Utilize cloud platforms for data storage and processing.
• Implement and manage vector databases for advanced data retrieval.
• Focus on performance optimization and system uptime.
• Integrate validated data and AI models into applications.
• Work with cross-functional teams to solve data challenges.
• Contribute to a culture of diversity, equity, and inclusion.
• Participate in a leading SaaS company focused on manufacturing solutions.

Requirements

• Bachelor's or Master's degree in a relevant field.
• 1+ years of experience in Data Engineering or related roles.
• Strong programming skills in Python.
• Experience with data processing frameworks like Spark or Pandas.
• Understanding of ETL/ELT principles and data modeling.
• Familiarity with SQL/NoSQL databases and cloud solutions.
• Experience with CI/CD practices.

Benefits

• Opportunity to work in a virtual-first environment.
• Engagement with a diverse and inclusive team.
• Chance to contribute to innovative solutions in manufacturing.
• Professional growth and development opportunities.
• Participation in advanced AI/ML projects.