Data Engineer / Senior Data Engineer (AI/ML) - Remote

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer / Senior Data Engineer (AI/ML) in the United States.

This role offers the opportunity to design, build, and optimize cloud-based data solutions that power AI, ML, and LLM initiatives across large-scale business operations. The Data Engineer will collaborate closely with data architects, scientists, software engineers, and product teams to develop scalable data pipelines, maintain high-quality data infrastructure, and support AI/ML workflows. Candidates will operate in a fast-paced, agile environment, focusing on cloud-native solutions, automation, and efficient data management practices. This position is ideal for professionals passionate about modern data engineering, solving complex technical challenges, and contributing to the advancement of AI-driven projects.

In Short

• Implement and maintain scalable data pipelines to support AI/ML and LLM workflows.
• Collaborate with data scientists and labeling teams for reliable data access.
• Manage and optimize data storage, partitioning, and clustering strategies.
• Develop SQL, Python, or Scala-based features and ETL processes.
• Ensure data integrity and quality through validation mechanisms.
• Document processes and advocate for best practices.
• Identify and implement improvements in data management lifecycle.
• Senior members provide code review feedback and guide problem-solving.

Requirements

• Experience in data engineering, particularly with AI/ML projects.
• Proficiency in SQL, Python, and Scala.
• Familiarity with cloud-based data warehousing.
• Strong understanding of data management practices.
• Ability to work in a fast-paced, agile environment.
• Experience with data validation and error-handling mechanisms.
• Excellent collaboration and communication skills.

Benefits

• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative work environment with diverse teams.
• Professional growth and development opportunities.
• Flexible work arrangements.