Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates must be engineering students in their 3rd year or Master's 2 with a specialization in computer science, data engineering, or possibly embedded systems. Knowledge of AI tools is a plus, along with good English skills at speaking and writing levels.
Proficiency in Python, PowerBi, and Bash is required, along with experience using GitLab for source code management. Strong skills in data collection, cleaning, organization, user interface development, and tool deployment are essential.
Candidates should have good interpersonal skills, strong autonomy, rigor, enthusiasm, dynamism, and be proactive in making proposals.
This information is not specified in the job description.
GE HealthCare promotes inclusion and diversity as an equal opportunity employer, with decisions made without regard to protected characteristics. It offers a collaborative culture with career development opportunities, competitive salaries, and benefits matching an international organization.
Healthcare technology and data analytics provider
GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.