Ansible Health is hiring a Data Engineer

What is Ansible Health? Ansible Health brings together medical professionals and technology experts from prestigious academic and corporate environments to transform healthcare for patients with multifaceted medical challenges, with a specialized focus on cardiopulmonary conditions. Our collaborative approach integrates world-class clinical insights with sophisticated technological solutions to deliver personalized, scalable care. Rigorous research published in prominent scientific journals validates our innovative methodologies. Supported by leading venture capital firms, we're a well-resourced startup collaborating with prominent healthcare networks nationwide. Our fundamental goal transcends performance metrics—we're dedicated to substantively enhancing patient outcomes through intelligent, data-driven interventions. For those passionate about revolutionizing healthcare through technological innovation, we invite you to contribute to meaningful systemic change. The Job at a Glance We are recruiting a proficient Data Engineer to integrate into our forward-thinking team. This position involves constructing and maintaining sophisticated data infrastructure supporting healthcare analytics and machine learning solutions. You'll develop sophisticated extraction, transformation, and loading processes to synthesize clinical, operational, and device-generated information from diverse sources, ensuring seamless, high-quality data accessibility for our scientific and clinical teams. Operating at the intersection of healthcare technology, you'll implement comprehensive data governance strategies, optimize database performance, and create adaptable data solutions directly supporting our mission of transforming care for patients with intricate cardiopulmonary conditions. Key Responsibilities - Architect scalable data pipelines for ingesting, processing, and integrating healthcare system, medical device, and external data sources - Construct and refine data models supporting clinical analytics, machine learning, and operational reporting - Establish comprehensive data quality controls and validation mechanisms ensuring information accuracy - Generate and maintain extensive data documentation including dictionaries, lineage diagrams, and workflow processes - Collaborate with data scientists to facilitate efficient data access and machine learning model deployment - Develop secure APIs enabling compliant healthcare data access for internal and external stakeholders - Implement robust data security protocols ensuring regulatory compliance Qualifications - Bachelor's or Master's degree in Computer Science, Information Systems, or related technical discipline - Minimum 3 years professional experience in data engineering - Advanced programming capabilities in Python with SQL proficiency - Expertise in ETL frameworks and tools - Demonstrated experience with relational and non-relational database technologies - Familiarity with cloud platform data services - Comprehensive understanding of data modeling and warehouse design concepts - Profound knowledge of data security best practices in sensitive environments Preferred Skills - Healthcare data experience, particularly with electronic health records and industry standards - HIPAA compliance expertise - Real-time data processing technology knowledge - Containerization and orchestration capabilities - Data governance framework understanding - Machine learning workflow support experience - Clinical condition domain knowledge What We Offer - Opportunity to significantly impact patient care and digital health evolution - Collaborative, mission-driven innovative work environment - Exposure to advanced health technology and AI applications - Competitive compensation package with equity options - Substantial professional development opportunities - Collaboration with experts from premier clinical and technological institutions