AI/ML Data Engineer - Remote

Overview

The AI/ML Data Engineer will design, build, and operate data and machine learning systems that enhance personalized student experiences at scale.

In Short

• Fully remote role requiring EST hours.
• Collaborate with engineers and architects in a small team.
• Design and build batch and streaming ETL pipelines.
• Implement data contracts and validation.
• Optimize data layouts for scalable ML and analytics.
• Productionize training datasets with versioning.
• Define SLOs and instrument observability across services.
• Maintain documentation and mentor peers.
• 4+ years of data engineering experience required.
• Strong skills in Python, SQL, and AWS services.

Requirements

• Experience in data engineering and ML productionization.
• Proficient in distributed computing frameworks like Spark.
• Expertise in data modeling and SQL for large datasets.
• Experience with MLOps tools and CI/CD for data.
• Strong security and privacy mindset.
• Excellent communication and collaboration skills.
• Experience in real-time feature engineering.
• Familiarity with data quality tools.
• Experience in higher education data domains is preferred.
• Passion for educational opportunities and mission-driven work.

Benefits

• Competitive salary and comprehensive benefits package.
• Annual bonuses and merit-based raises.
• Supportive team environment focused on development.
• Mission-driven workplace with impactful work.
• Opportunities for professional growth and success.