• Learn the tools and systems used by the team and complete clearly defined tasks. • Build new features and improve existing code with guidance from the team. • Work collaboratively with developers and stakeholders to understand goals and workflows. • Participate in an agile development process, including planning and feedback. • Help identify and troubleshoot technical issues. • Document issues and improvements to help strengthen our services. • Communicate progress clearly and ask for help when needed. • Validate functionality that is delivered.

• Learn the tools and systems used by the team and complete clearly defined tasks. • Build new features and improve existing code with guidance from the team. • Work collaboratively with developers and stakeholders to understand goals and workflows. • Participate in an agile development process, including planning and feedback. • Help identify and troubleshoot technical issues. • Document issues and improvements to help strengthen our services. • Communicate progress clearly and ask for help when needed.

Join our dynamic team at Valer, where we believe in transforming healthcare through innovative technology! As a Jr. Full Stack Engineer, you will have the opportunity to work alongside passionate and unconventional engineers, leveraging your skills to help us continue improving our flagship product, VALER®. This cloud-based application is designed to automate healthcare revenue operations and enhance connectivity within the healthcare ecosystem. If you're eager to dive into a fast-paced environment, collaborate directly with users, and tackle meaningful challenges, this is the perfect opportunity for you!

• Maintain and enhance existing data processes to ensure reliability, performance, and scalability • Improve and support Python-based services, as well as develop new ones • Design, implement, and optimize scalable data architecture • Drive improvements in system reliability and performance across all data workflows • Modernize data processes by introducing new tools and technologies • Manage data flow between local storage, AWS, and Snowflake with a focus on performance and cost efficiency • Lead migration of data pipelines and services to Snowflake • Work with and improve the data orchestration layer (Airflow) for stable operation and scalability • Collaborate with cross-functional teams to ensure architectural alignment and adoption of best practices