Data Engineer

Company Description

Onehot Labs harnesses machine learning and natural language processing to build products that make medical billing and reimbursement more efficient and cost-effective. By reducing human error, eliminating paperwork and streamlining medical billing processes, our solutions help doctors spend more time taking care of patients and allow patients to spend less time worrying about their medical bills. We are innovators, experimenters, lifelong learners, and free thinkers who strive to have a positive impact on the world around us and are working together to create a company that we all want to work at. Our pioneering tech is in use in all 50 states, and we review clinical documentation for over 1,000,000 unique patient encounters each week. Our company is already profitable allowing us to offer a wide range of “big company” benefits such as 401k, Health, Dental, Vision, HSA, FSA & more!

Opportunity

Ready to build on the cutting edge? Excited to work with massive amounts of medical data? Looking for the freedom to innovate and solve problems that matter? We are a small team united by our intellectual curiosity and passion for making a positive impact on our healthcare system.

We are seeking exceptional Data Engineers to help develop scalable end to end machine learning systems to change the way medical billing is performed. As a Data Engineer you will:

• Build internal tools that make our machine learning more efficient – from data ingestion to real-time
  model serving.
• Develop large-scale cloud-based machine learning systems.
• Work on a range of NLP applications and gain exposure to novel research problems.

Requirements

The ideal candidate will have experience developing data infrastructure and software tools with a strong desire to participate in cutting-edge research in machine learning applications. The position will apply these skills to massive healthcare data to develop solutions for real world, large-scale problems. We need our engineers to be versatile, display leadership qualities and be enthusiastic to tackle new problems.

• Programming Experience with one or more general purpose languages: Python, C++, Java
• Experience building complex cloud-based data pipelines to support Machine Learning
• Hands on experience scaling container technologies: Docker, Kubernetes, etc.
• Advanced working SQL knowledge and experience working with relational databases
• Good understanding of continuous integration/continuous delivery principles
• Experience building, controlling, and monitoring secure cloud-based platforms and infrastructure (HIPAA)
• Familiarity with Infrastructure configuration management & automation (Ansible, Chef, Terraform)
• Have an imagination, ambition, and intense curiosity. Be innovative. Skilled in communication.
• Ability to thrive in a dynamic and fast paced environment.