Software Data Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-Time
• Salary: Not provided This role focuses on building and optimizing data pipelines for AI model training in drug discovery. The individual will collaborate with various teams to improve data processing workflows, storage infrastructure, and overall system reliability. Preference is given to candidates on the East Coast or UK.

Requirements

• Experience: Minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.
• ETL Design: Proven ability to design flexible, maintainable ETL (Extract, Transform, Load) systems.
• Data Pipeline Tools: Experience with data pipeline orchestration tools such as Prefect, Airflow, Argo, Databricks, or Spark.
• ML Lifecycle Understanding: Understanding of the ML model lifecycle. Prior work with scientific or ML workflows is a plus.
• Data Scale: Hands-on experience with multi-terabyte scale data processing.
• AWS Familiarity: Familiarity with AWS. Kubernetes experience is a bonus.
• Data Lake Technologies: Knowledge of data lake technologies such as Parquet, Iceberg, AWS Glue, etc.
• Python Skills: Strong Python software engineering skills.
• Mindset: Pragmatic mindset – able to evaluate tradeoffs and find solutions that empower ML researchers to move quickly.

Responsibilities

• Data Pipeline Design & Improvement: Design and improve data pipelines that process large, multi-modal datasets from various internal and external sources into training datasets for AI models.
• Data Storage Evolution: Evolve our data storage layer to support analytics, schema evolution, reproducibility, and efficient data access.
• Workflow Optimization: Collaborate with ML engineers to improve the performance and reliability of Python-based data processing workflows.
• Software System Development: Collaborate on the creation, testing, and maintenance of software systems.
• Code Review: Conduct code review for pull requests in adjoining areas.
• Best Practices: Maintenance of and mentorship in software best practices, including version control, testing, and documentation.
• Communication: Clear oral communication of work in meetings and company demos, at a level suited to the audience.

Application Instructions

Not provided in the job description.

Company Information

About Iambic Therapeutics: Founded in 2019 and headquartered in San Diego, California, Iambic Therapeutics is disrupting the therapeutics landscape with its unique AI-driven drug-discovery platform. Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters with strong track records of success in delivering clinically validated therapeutics. The Iambic platform has been demonstrated to deliver high-quality, differentiated therapeutics to cl