Okay, I've searched for Data Software Engineer roles in Gainesville, FL, full-time positions requiring Python and SQL skills, with 5+ years of experience. I have found 47 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Data Software Engineer III role within the University of Florida’s College of Medicine Quality and Patient Safety initiative (QPSi) centers on the advanced engineering and management of healthcare data pipelines that support cutting-edge AI and machine learning applications aimed at improving patient care quality and safety. Beyond mere software development, the candidate is expected to deeply engage in feature engineering tailored to clinical data, data integration, and rigorous quality assurance in a regulated environment. The role calls for a blend of technical prowess—Python expertise (especially with Pandas), strong database management (SQL/NoSQL), distributed computing, and systems automation—and domain-specific fluency in healthcare data including EMRs and clinical research principles. This combination reflects the need for solutions that are not only scalable and performant but also compliant and aligned with medical standards. The candidate will face challenges around handling large, heterogeneous healthcare datasets, ensuring data quality amidst complex source integrations, and deploying machine learning models reliably in production while supporting monitoring and continuous improvement (MLOps). Collaborating closely with clinical experts, data scientists, and IT teams highlights the cross-functional nature and communication demands of the role. Success means delivering robust, scalable pipelines and infrastructure that empower research and clinical decision-making, contributing thought leadership through publications and educational initiatives, and maintaining seamless operation of AI tools within the hospital ecosystem.

Company Analysis:

The University of Florida, a prestigious and comprehensive public research institution with a storied history, operates in a highly interdisciplinary and mission-driven academic healthcare environment. QPSi, as part of the UF College of Medicine, exemplifies the university’s emphasis on innovation, research excellence, and societal impact by focusing on improving healthcare through data and technology. This suggests a culture that values collaboration across academic, clinical, and technical domains, demanding adaptability, continuous learning, and a service mindset. While the university environment provides stability and rich resources, it also expects rigor, transparency, and adherence to regulatory frameworks, especially in healthcare data management. Being part of a major research university means exposure to cutting-edge methods and high expectations for publication and knowledge dissemination, which can be very motivating for professionals looking to contribute intellectually and practically. The role likely offers significant visibility within both the QPSi and broader IT and research operations, encouraging proactive communication with leadership and stakeholders. Given the institution’s scale and scope, employees benefit from robust professional development opportunities but must also navigate the complexities of a large public entity. The Gainesville location enhances quality of life and aligns well with work-life balance priorities, an important soft factor for sustained success. Overall, this role is strategic for advancing UF’s leadership in healthcare innovation and offers a meaningful career path for candidates passionate about blending technology with healthcare outcomes.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to develop a data pipeline from diverse data sources. What challenges did you face and how did you overcome them?
• Behavioral: Describe a situation where you collaborated with non-technical stakeholders (e.g., clinicians or researchers) to implement a technical solution. How did you ensure mutual understanding and success?
• Behavioral: Share an experience where you identified and remediated data quality issues in a complex dataset. What tools or strategies did you use?
• Behavioral: Give an example of a time you automated a manual data processing task. What was the impact on your team or project?
• Technical: How would you design a scalable ETL pipeline to process large healthcare datasets ensuring data security and compliance?
• Technical: What experience do you have with MLOps and how would you implement CI/CD pipelines for machine learning models in a healthcare setting?
• Technical: Explain how you use Python's Pandas library for feature engineering and give an example relevant to clinical data.
• Technical: Describe your approach to managing data integration from multiple EMR systems like Epic. How do you ensure consistency and accuracy?
• Situational: Imagine your deployed AI model’s performance degrades significantly post-deployment. How would you investigate and address this issue?
• Situational: Suppose a new data source with critical patient safety information needs integration but has inconsistent data formats and quality. How do you approach onboarding it?
• Situational: You need to collaborate with UF Health IT to deploy an AI tool requiring high availability. What steps would you take to ensure smooth deployment and operation?
• Company Fit/Motivation: What specifically about UF’s Quality and Patient Safety Initiative motivates you to join this team?
• Company Fit/Motivation: How do your personal values and career goals align with working in a university-based healthcare research environment?
• Company Fit/Motivation: The role requires communication of technical results to diverse audiences. How would you tailor your messaging to ensure clarity and impact?
• Questions to Ask Interviewer: Can you describe how the QPSi team collaborates with clinical and IT departments to drive innovation?
• Questions to Ask Interviewer: What are the biggest challenges currently facing the data engineering team in the QPSi initiative?
• Questions to Ask Interviewer: How does the University of Florida support continuous learning and professional development for roles like this?