Software Data Engineer - Remote

Overview

In this role, you’ll play a pivotal part in building and optimizing data pipelines that transform large, multi-modal datasets into high-quality training inputs for cutting-edge AI models for drug discovery.

In Short

• Design and improve data pipelines for AI models.
• Evolve data storage for analytics and efficient access.
• Collaborate with ML engineers on Python-based workflows.
• Participate in software systems testing and maintenance.
• Conduct code reviews and champion best practices.
• Communicate work effectively in meetings and demos.

Requirements

• 8+ years of experience in related fields.
• Proven ability to design maintainable ETL systems.
• Experience with orchestration tools like Prefect or Airflow.
• Understanding of ML model lifecycle.
• Hands-on experience with large data processing.
• Familiarity with AWS; Kubernetes is a bonus.
• Knowledge of data lake technologies.
• Strong Python software engineering skills.
• Pragmatic mindset for evaluating tradeoffs.
• Background in bioinformatics or chemistry is a plus.

Benefits

• Competitive compensation package.
• Pension contributions.
• Flexible holiday allowances.
• Modern and collaborative work environment.
• Inclusive culture and diverse team.