Analytics Forward Deployed Software Engineer 2

Tampa General HospitalTampa, FL
6h

About The Position

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.

Requirements

  • Bachelor's Degree in Computer Science, Engineering, Data Science, and/or other related field.
  • 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).
  • 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.
  • Proficiency in SQL and programming languages such as Python, PySpark, TypeScript/JavaScript, and React.

Nice To Haves

  • Experience with Foundry or similar enterprise data platforms.
  • Prior experience in healthcare or clinical analytics environments

Responsibilities

  • 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
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