Senior Software Engineer, Data Platform

As a Senior Software Engineer at Sprinter, you will lead projects focused on healthcare data, tackle complex technical challenges around patient data analytics, and contribute to building our data warehouse from the ground up. You'll work on uncovering care gaps, predicting risks, and developing clinical summaries. Collaboration with engineers and product managers from top tech companies will also be part of your role, as you'll work to innovate the healthcare delivery process.

To qualify for the Senior Software Engineer position at Sprinter, applicants should have at least 5 years of software engineering experience, ideally with a strong focus on data platforms. Proficiency in Python or JavaScript/TypeScript is preferred, along with experience in ETL/ELT tools like AWS Glue or Airflow. Experience with data warehousing technologies, observability practices, and familiarity with healthcare data standards such as FHIR and HL7 will also be advantageous.

At Sprinter, you will be part of a collaborative and engaging team environment. Our culture promotes communication, innovation, and camaraderie. With team offsites, game hours, and tech talks, you will find yourself collaborating closely with engineers and product management professionals from reputed companies. The blend of expertise across our team creates a vibrant atmosphere conducive to learning and growth.

Sprinter emphasizes professional growth through mentorship, coaching, and opportunities for career advancement. As a Senior Software Engineer, you'll have significant responsibilities, allowing you to take on larger projects and lead team implementations. Regular feedback sessions and exposure to decision-making processes ensure you are on an accelerated path to personal and professional growth.

As a Senior Software Engineer at Sprinter, your work will directly affect the lives of thousands of patients navigating the healthcare system. You will be instrumental in solving critical data challenges, improving healthcare delivery processes, and creating analytical tools that enhance patient care. This meaningful impact on improving healthcare outcomes is the core of our mission, and we believe you can help make a real difference.

When answering this question, focus on your passion for technology and improving healthcare outcomes. Relate your previous experiences to the responsibilities outlined in the job description and emphasize your desire to tackle complex technical challenges while contributing to meaningful work.

Detail your experience with data platforms, including specific technologies you have worked with, such as AWS Glue or Airflow. Explain your approach to designing ETL processes, optimizing data pipelines, and ensuring data quality and integration to show your technical proficiency.

Demonstrate your problem-solving skills by providing an example of a challenging technical issue you faced and the steps you took to resolve it. Discuss the outcome and any lessons learned, showcasing your analytic skills and resilience.

Outline your familiarity with healthcare data standards by explaining projects where you utilized FHIR or HL7. Highlight your understanding of the importance of these standards in ensuring data interoperability and quality in the healthcare sector.

Discuss your strategies for maintaining data quality and system performance. This could include monitoring protocols, automated validation procedures, and best practices for optimization. Mention your experience with observability tools for ensuring system health.

Emphasize your leadership style and your commitment to developing talent. Describe how you would guide a junior engineer through technical challenges, while fostering a supportive learning environment and encouraging collaboration.

Provide a specific example of a project where you led a team. Share your approach to delegating tasks, managing project timelines, and ensuring deliverables met quality standards. Focus on any challenges faced and how you addressed them as a leader.

Discuss the analytical techniques you employ in your work, such as statistical methods, data mining, or machine learning approaches. Relate this to specific tools or technologies you've used, emphasizing how you apply these techniques to derive insights from healthcare data.

Explain how you align technical work with the larger business objectives. Your answer could include discussing collaboration with product management, understanding customer needs, and ensuring technical decisions facilitate achieving business success.

Articulate your motivations for entering the healthcare technology field. Discuss your desire to innovate in a space that directly impacts people's lives, solving real-world problems and contributing to the advancement of healthcare systems.