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Senior Full Stack Engineer - Data & Analytics

170k – 190kUnited StatesRemote4+ YOE
Summary

Senior full-stack engineer building end-to-end data and analytics products for healthcare. Works across data pipelines, modeling, and user-facing dashboards while leveraging AI tooling.

About the role

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 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

Requirements

  • 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
  • Experience designing, building, and operating end-to-end data workflows — from raw data ingestion through transformation, modeling, and downstream analysis
  • 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 Therapy Solutions Inc.
  • Strong problem-solving mindset and ability to operate effectively in ambiguous, fast-paced environments
  • Interest in a hands-on, high code-contribution role

Nice-to-Haves

  • Experience with complex healthcare datasets — including patient care, operations, and billing data
  • Hands-on experience with analytics engineering tools such as dbt for data transformations and Metabase for building analytics dashboards (or other equivalent tools)
  • Experience working in AWS (e.g., S3, Athena, RDS, Redshift, DMS, Glue, ECS, Lambda, or similar services)
  • Experience working with relational databases and warehouses (e.g., PostgreSQL, Athena, Redshift, Snowflake, BigQuery)
  • Experience building internal or client-facing analytics products used by multiple teams or customers

Compensation & Benefits

  • Competitive salaries
  • Remote/hybrid environment
  • Potential equity compensation for outstanding performance
  • Flexible PTO
  • Company-wide sponsored lunches
  • Company paid disability and life insurance benefits
  • Company paid family and medical leave
  • Medical, dental, and vision insurance benefits
  • Discounted pet insurance
  • FSA/DCA and commuter benefits
  • 401k
  • Complimentary subscription to digital fitness classes and wellness content
  • Recovery suite at HQ – includes a cold plunge, sauna, and shower
Skills
PythonSQLReactVueAWSdbtMetabasePostgreSQLRedshiftSnowflakeBigQueryAthenaS3LambdaECS
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