GE HealthCare's Software Technology Organization (STO) AI team is seeking a talented Data Software Engineer to join their innovative healthcare technology initiatives. This role presents a unique opportunity to work at the intersection of data engineering, software development, and healthcare technology.
The position combines technical expertise in data pipeline development with front-end web tool creation, making it ideal for engineers who enjoy working across the full stack. You'll be responsible for designing and implementing data processing pipelines, developing robust databases, and creating intuitive web interfaces for data visualization.
The role requires a graduate degree in computer science or related fields and at least 2 years of industry experience. Technical requirements include proficiency in Python, strong knowledge of SQL and NoSQL databases, experience with data processing frameworks like Apache Spark and Hadoop, and expertise in front-end technologies. The position also demands familiarity with cloud platforms and containerization technologies.
What makes this role particularly interesting is its focus on healthcare technology. While not required, familiarity with healthcare data management, HIPAA compliance, and DICOM standards would be valuable. You'll be working on solutions that directly impact healthcare delivery and patient care.
GE HealthCare offers a competitive compensation package ranging from $136,000 to $204,000 annually, along with comprehensive benefits including medical, dental, vision insurance, 401(k) with company matching, and tuition reimbursement. The company also provides performance-based incentives and relocation assistance.
As a remote position, this role offers flexibility while allowing you to contribute to meaningful healthcare solutions. You'll be part of a company that's dedicated to creating a world where healthcare has no limits, working with cutting-edge medical technology and intelligent devices. This is an excellent opportunity for someone passionate about both data engineering and healthcare technology to make a significant impact in the field.