Staff Software Engineer, Data Platform

The Staff Software Engineer, Data Platform at VideaHealth is tasked with developing foundational data systems and integrating various data sources, including real-time image analysis and patient information. They will create a Data Lake, enable workflow orchestration, and ensure the scalability and security of backend services that support both clients and partners. Collaborating and automating testing are also significant parts of the role, while championing a culture of continual improvement in our engineering practices.

Candidates for the Staff Software Engineer, Data Platform position at VideaHealth should have a Bachelor’s degree in Computer Science or a related field, along with a minimum of 5 years of experience in building secure, reliable, and distributed SaaS systems. Proficiency in Node.js or Python is also necessary, with experience in cloud platforms like AWS or Azure. A strong grasp of complex SQL/NoSQL database designs and schema optimizations is crucial for this role.

In the Staff Software Engineer, Data Platform role at VideaHealth, you will work extensively with tools and technologies such as Snowflake, Airflow, and dbt for data warehousing and ETL processes. Familiarity with Docker, Kubernetes, and AWS-ECS is a bonus. Additionally, experience with Identity-as-a-Service providers and automated deployment tooling will be advantageous, allowing you to effectively contribute to the development of advanced healthcare solutions.

VideaHealth fosters a fast-paced, collaborative work culture where Staff Software Engineers are encouraged to share knowledge and mentor others. The company is committed to professional development, offering opportunities to tackle a variety of technical challenges and advance their skills while working within an agile organization that empowers innovation and creativity.

The position of Staff Software Engineer, Data Platform at VideaHealth is unique due to its focus on building transformative data solutions that directly impact dental health care for millions. Working alongside experienced professionals and AI scientists in a collaborative environment, you will play a key role in shaping technology that has real-world applications in patient care, thus contributing positively to public health.

When answering this question, highlight specific projects where you built data-intensive applications, focusing on the technologies used, the challenges faced, and how you overcame them. Discuss your experience with data integration, cloud platforms, and any relevant frameworks or practices that improved performance and scalability.

Discuss your methodology for optimization, including schema normalization, query performance analysis, and indexing strategies. Provide examples of past optimizations that resulted in faster queries or more efficient storage, ideally related to the healthcare industry or similar data environments.

Explain your understanding of security best practices, such as data encryption, authentication and authorization mechanisms, and secure coding standards. Discuss how you’ve implemented these practices in previous roles, particularly in areas handling sensitive data like patient information.

Choose an example that showcases your ability to work collaboratively with teams outside of engineering, such as product, design, or healthcare professionals. Explain how you facilitated communication, tackled conflicts, and contributed to achieving a successful outcome while demonstrating your adaptability and teamwork skills.

Detail your experience with tools like Airflow, dbt, or other relevant solutions. Discuss specific processes you've orchestrated, the challenges you encountered, and how effective orchestration led to improvements in data accessibility or reliability.

Discuss your approach to designing scalable applications, including architecture considerations, load testing, and microservices. Share a specific instance where you successfully scaled an application and the impact it had on performance and user experience.

Describe your practical experience with these platforms, focusing on the services you've utilized (e.g., compute, storage, databases) and how they contributed to deploying and optimizing applications in a cloud environment. Mention any certifications if applicable.

Select a project where you established an automated deployment pipeline, discussing the tools used (e.g., Terraform, CDK) and how it improved efficiency and reduced errors in your development processes.

Emphasize the importance of documentation for maintaining clarity and continuity in engineering projects. Discuss methods you use to document processes, code, and architecture, and provide an example of how thorough documentation positively impacted a project.

Express your enthusiasm for VideaHealth's mission to enhance dental health through innovative technology. Share how your expertise aligns with their goals and discuss specific aspects of the company or role that excite you, such as its collaborative culture or opportunities for impact.