Data Engineer I - Remote

Overview

As a Data Engineer I, you’ll join a fast-paced, high-impact team focused on building scalable, reliable data systems that power our core AI-driven platform.

In Short

• Build and maintain scalable data pipelines using Python, Spark SQL, and Airflow.
• Assist in onboarding new customers by transforming their raw files (CSV, JSON, Parquet).
• Collaborate with senior engineers to improve data quality and reusability.
• Learn how to standardize external healthcare data into canonical internal models.
• Monitor and debug data pipeline issues with support from senior engineers.
• Work closely with analysts and product managers to understand data requirements.
• Participate in code reviews and design discussions.
• Contribute to documentation and internal tooling.
• Grow your understanding of domain models and data contracts.
• Grow into owning workflows end-to-end and improving performance.

Requirements

• Recent grad (BS/MS in CS, Data Engineering, or related field) or early-career engineer with 0–3 years of experience.
• Strong programming fundamentals and proficiency in Python.
• Exposure to SQL and a desire to work with large datasets.
• Curiosity about real-world data problems.
• Hunger to learn and detail-oriented.
• Solid communication skills for collaboration.

Benefits

• Mentorship & Growth: Learn from senior engineers with opportunities for rapid growth.
• Mission-driven: Help shape the future of AI-powered decision-making in healthcare.
• Impact from Day One: Real ownership and systems.