Analytics Forward Deployed Software Engineer 2
Posted 3 days ago
The role in short
Embed with hospital stakeholders to design and deploy custom software solutions, analytics dashboards, and AI agents using Python, React, and LLMs.
As an Analytics Forward Deployed Software Engineer 2, you will work directly with customers in solving complex problems using data-driven solutions. Your primary mission will be to understand customers' greatest challenges, synthesize data insights, and deploy software solutions to drive impactful results. Join us in making a tangible difference by harnessing data-driven solutions to address the most critical challenges in healthcare. As we strive for innovation and excellence, be part of our journey to become a world-class organization, shaping the future of healthcare with cutting-edge technologies and forward-thinking strategies.
Essential Functions
- Engage directly with customers to understand their challenges, workflows, and objectives.
- Independently decompose complex processes into actionable components that can be improved or automated using data and custom software solutions.
- Design and deliver tailored tools, ranging from analytics dashboards to operational applications, that drive measurable value for the organization.
- Collaborate with cross-functional teams including Engineers, Data Strategists, and Data Scientists to deploy software solutions against complex problems.
- Contribute to product development by recommending features, improving functionality, and enhancing user experience based on customer feedback and technical insight
- Apply AI-driven development tools and prompt engineering techniques to analyze data and optimize software performance and process efficiency
This role will support the WARP (Widespread Agentic Rollout Platform) Agent Delivery Team.
Qualifications
Education Qualifications
- Bachelor’s Degree Computer Science
- Bachelor’s Degree Engineering
- Bachelor’s Degree Data Science
- Bachelor’s Degree Related Field
Experience Qualifications
- Three (3) years of related technical experience required.
- Experience with web development frameworks (e.g., HTML, CSS, Angular) and version control systems (e.g., Git, Azure DevOps).
Skills and Abilities
- Strong understanding of relational databases, data profiling, data quality, and performance tuning.
- Proficiency with Business Intelligence tools (e.g., Power BI, Tableau, Qlik Sense).
- Experience with cloud-based data platforms and data lakes.
- Familiarity with AI concepts, including large language models (LLMs) and prompt engineering.
- Knowledge and practical experience applying process improvement methodologies (e.g., Lean Six Sigma, Agile, PDCA/PDSA, PMP) to support efficient and scalable analytics solutions.
- Experience with Foundry or similar enterprise data platforms.
- Prior experience in healthcare or clinical analytics environments
- Proficiency in SQL and programming languages such as Python, PySpark, TypeScript/JavaScript, and React.
Additional Information
- Primary Location: Tampa
- Work Locations: TGH Corporate Center, 606 W Kennedy Blvd, Tampa 33606
- Eligible for Remote Work: On Site
- Job: Information Technology
- Organization: Florida Health Sciences Center Tampa General Hospital
- Schedule: Full-time (Monday, Tuesday, Wednesday, Thursday, Friday)
- Shift: Day Job (8:00 am - 5:00 pm)
- Job Type: On Site
- Minimum Salary: $114,545.60
Prep for this interview
3 questions likely to come up at Tampa General Hospital, each matched to a line in this posting.
- 1LLMs, RAG and agents
They wrote: “Familiarity with AI concepts, including large language models (LLMs) and prompt engineering.”
A customer wants a chatbot over their internal documents. How do you build it?
How to answer
Why they ask: RAG is the most common first project. They want the whole path, from messy files to answers people trust.
- Collect and clean the documents; handle permissions per user
- Split them into chunks, embed, and store with source links
- Retrieve, then answer with citations; say “I don't know” when retrieval is weak
- Build a test set of real questions with expected answers before launch
Tip: Spend more time on the data and on testing than on the model.
- 2Data and SQL
They wrote: “Proficiency in SQL and programming languages such as Python, PySpark, TypeScript/JavaScript, and React.”
Write a query that finds each customer's first and most recent order.
How to answer
Why they ask: A quick check that you're comfortable with grouping, joins and window functions.
- Clarify the tables and what counts as an order (cancelled ones?)
- Use MIN/MAX with GROUP BY, or ROW_NUMBER() if you need the whole row
- Handle ties on the same timestamp, and customers with no orders
- Explain how you'd test it on a few known customers
Tip: Say what you'd check in the data before writing the query: duplicates, time zones, nulls.
- 3Cloud, deployment and security
They wrote: “Experience with web development frameworks (e.g., HTML, CSS, Angular) and version control systems (e.g., Git, Azure DevOps).”
How would you debug a deployment that works in staging but fails at the customer's site?
How to answer
Why they ask: Customer environments differ in ways you can't see. This tests method under pressure.
- Compare versions, config and environment variables
- Check network rules, proxies and certificates (common in enterprise)
- Look at resource limits and permissions
- Add the missing check to your install steps afterwards
Tip: List the usual suspects and how you'd check each without full access.
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