Software Engineer

October 17

Apply Now
Logo of Intus Care

Intus Care

Geriatrics • Technology • Data Analytics

11 - 50 employees

⚕️ Healthcare Insurance

☁️ SaaS

🤖 Artificial Intelligence

💰 $13.1M Venture Round on 2023-01

Description

• Develop, maintain, and enhance ETL pipelines for processing healthcare data using Python, dbt, and Snowflake. • Collaborate with cross-functional teams to understand requirements and deliver solutions. • Implement and maintain logging and monitoring for data processing tasks. • Write clean, maintainable, and efficient code following best practices. • Participate in code reviews and provide constructive feedback to peers. • Debug and resolve issues related to data processing and integration. • Contribute to the design and architecture of new features and improvements.

Requirements

• Bachelor's degree in computer science, engineering, or a related field. • 3-5 years of experience in software development, with a focus on data processing and ETL. • Proficiency in Python, with experience in libraries such as Pandas and Numpy. • Familiarity with database systems and SQL. • Experience with version control systems, preferably Git. • Strong problem-solving skills and attention to detail. • Excellent communication and teamwork skills. • Ability to work independently and manage multiple tasks effectively. • Experience with healthcare data and standards (preferred). • Knowledge of cloud platforms and services (e.g., Azure) (preferred). • Familiarity with containerization technologies (e.g., Docker) (preferred). • Experience with logging frameworks and monitoring tools (e.g., Grafana) (preferred). • Understanding of data warehousing concepts and tools (preferred).

Benefits

• Competitive salary package. • Comprehensive benefits including health, dental, and vision insurance. • A collaborative, inclusive, and dynamic work environment. • Opportunities for professional growth and development.

Apply Now

Similar Jobs

October 15

Swish Analytics seeks a Product Engineer to advance predictive sports analytics products.

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or lior@remoterocketship.com