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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