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. You’ll work side-by-side with senior engineers, product managers, and data scientists to help ingest, standardize, and deliver data that drives critical healthcare and payment decisions.

In Short

• Build and maintain scalable data pipelines using Python, Spark SQL, and Airflow.
• Assist in onboarding new customers by helping transform their raw files (CSV, JSON, Parquet) into internal formats.
• Collaborate with senior engineers to improve data quality, observability, 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, scientists, and product managers to understand data requirements and business context.
• Participate in code reviews, design discussions, and debugging sessions.
• Contribute to documentation and internal tooling to improve team productivity.
• Grow your understanding of domain models, data contracts, and business context.
• Grow into owning workflows end-to-end, improving performance, and contributing to architectural decisions.

Requirements

• Are a recent grad (BS/MS in CS, Data Engineering, or related field) or early-career engineer with 0–3 years of industry 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, particularly those involving messy, complex data.
• Hunger to learn — you enjoy getting into the weeds, asking good questions, and figuring things out.
• Solid communication skills — able to collaborate effectively with both technical and non-technical partners.
• Attention to detail and a strong sense of ownership.

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. Real systems. Real users.