Software Engineer (Data Engineering) – Early Disease Detection Clinical AI

Key Responsibilities

• Collaborate with our Product team to analyze customer needs and translate them into technical strategy and data architecture.
• Design, develop, and own the critical components of our data platform, ensuring scalability, reliability, and adherence to strict compliance standards.
• Execute complex data mapping and transformation initiatives, converting large, raw healthcare datasets into standardized, research-grade formats (e.g., OMOP).
• Partner closely with the MLOps and Data Science teams to define and provide standardized datasets, eliminating data friction and enabling rapid model development.
• Support data integrations by working with customers’ technical teams to clarify requirements and troubleshoot technical issues as needed.
• Participate in code reviews and contribute to technical standards and best practices for data engineering.
• Develop and maintain infrastructure as code (IaC) using tools like Terraform to manage our data-centric cloud resources.
• Write and maintain highly performant, production-grade applications and automation scripts primarily in Python and Go.
• Drive continuous improvements to the data platform and our processes by actively providing and implementing recommendations.
• Contribute to the validation of data pipelines and outputs to ensure the highest standards of accuracy and clinical relevance.

Qualifications

• A bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software development experience, with a proven track record of building and maintaining complex data systems.
• Familiarity with healthcare data standards (e.g., OMOP, HL7, FHIR) and data protection principles.
• Proficiency in developing solutions using languages such as Go or Python.
• Solid understanding and hands-on experience with both relational (SQL) and document-based (NoSQL) databases.
• Experience designing and deploying data solutions on a major cloud platform (GCP, AWS, Azure).
• Experience working in a PHI-regulated or HIPAA-compliant secure cloud environment.
• Experience working within Agile delivery teams.
• Excellent analytical, creative problem-solving, and communication skills, with a passion for improving healthcare outcomes.