Senior Full Stack Engineer - Data & Analytics

Responsibilities

• Drive Prompt's mission to improve healthcare through high-quality, actionable data and analytics that inform client and internal decision-making
• Build full-stack data and analytics features end-to-end — from building the data models, analyzing the data, to the user-facing interfaces that surface insights
• Build AI and LLM-powered workflows that accelerate data transformation, analysis, and app development — while maintaining high standards for reliability and maintainability
• Own the design, development, and iteration of complex data systems, including the building data transformations, and well-modeled datasets
• Develop and ship analytics products and dashboards used by clients and internal teams
• Perform exploratory analysis and hypothesis-driven investigations to surface insights and guide product and operational decisions
• Influence data engineering team strategy and product architecture for data and analytics surfaces
• Partner with stakeholders across the company to understand client and internal workflows, define success criteria, and deliver products that drive improvement

Qualifications

• 4+ years of software development experience with a focus on full-stack web development and data modeling/analysis
• Strong proficiency in Python and SQL for data transformation, analysis, and analytic pipeline development
• Experience building backend servers and modern frontend interfaces (React, Vue, or equivalent) for data-rich applications
• Demonstrated fluency with modern AI and LLM-powered development tools (code agents, automation frameworks) and a track record of using them to ship higher-quality work faster
• Proven ability to work with complex, messy, and evolving data sources and turn them into reliable, well-modeled datasets
• Strong judgment around data quality, correctness, observability, and maintainability in production data systems
• Strong communication skills and the ability to comfortably articulate your thoughts and decisions
• Desire to contribute to the growth of the product, team, and direction of Prompt
• Strong problem-solving mindset and ability to operate effectively in ambiguous, fast-paced environments
• Nice-to-have: Experience with complex healthcare datasets — including patient care, operations, and billing data
• Nice-to-have: Hands-on experience with analytics engineering tools such as dbt for data transformations and Metabase for building analytics dashboards (or other equivalent tools)
• Nice-to-have: Experience working in AWS (e.g., S3, Athena, RDS, Redshift, DMS, Glue, ECS, Lambda, or similar services)
• Nice-to-have: Experience working with relational databases and warehouses (e.g., PostgreSQL, Athena, Redshift, Snowflake, BigQuery)
• Nice-to-have: Experience building internal or client-facing analytics products used by multiple teams or customers