Remote Data Engineer I

Description:

• Machinify is a leading provider of AI-powered software products that transform healthcare claims and payment operations.
• The company addresses the issue of over $200B in claims mispayments in the healthcare industry, which creates waste and frustration for patients, providers, and payers.
• As a Data Engineer I, you will join a fast-paced, high-impact team focused on building scalable and reliable data systems for the core AI-driven platform.
• You will work alongside senior engineers, product managers, and data scientists to ingest, standardize, and deliver data that drives critical healthcare and payment decisions.
• Your role will involve turning messy, complex external data into structured, trustworthy datasets while learning best practices for data modeling, pipeline development, and production operations.
• This position offers a high-growth opportunity for someone who is curious, driven, and eager to learn about real-world data engineering.

Requirements:

• You should be a recent graduate (BS/MS in CS, Data Engineering, or a related field) or an early-career engineer with 0–3 years of industry experience.
• Strong programming fundamentals and proficiency in Python are required.
• You should have exposure to SQL and a desire to work with large datasets.
• Curiosity about real-world data problems, especially those involving messy and complex data, is essential.
• A strong hunger to learn, including asking good questions and figuring things out, is necessary.
• Solid communication skills are required to collaborate effectively with both technical and non-technical partners.
• Attention to detail and a strong sense of ownership are important for this role.

Benefits:

• You will receive mentorship and growth opportunities from senior engineers, with the potential for rapid career advancement.
• The role is mission-driven, allowing you to help shape the future of AI-powered decision-making in healthcare.
• You will have the opportunity to make an impact from day one, with real ownership of systems and users.