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Prompt

College essay coaching and EdTech platform

Senior Full Stack Engineer - Data & Analytics

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 4 years of software development experience focused on full-stack web development and data modeling or analysis.
  • Strong proficiency in Python and SQL for data transformation, analysis, and analytics pipeline development.
  • Experience building backend servers and modern frontend interfaces with React, Vue, or equivalent technology for data-rich applications.
  • Fluency with modern AI and large language model-powered development tools, such as code agents and automation frameworks, and a track record of using them to ship higher-quality work faster.
  • 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.
  • Interest in a hands-on, high-code-contribution role; this is not an engineering management position.
  • Strong communication skills and the ability to articulate thoughts and decisions.
  • Desire to contribute to the growth of the product, team, and direction of Prompt Therapy Solutions Inc.
  • Problem-solving ability and capacity to work effectively in ambiguous, fast-paced environments.

Responsibilities

  • Drive the 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 data models and analysis to user-facing interfaces that surface insights.
  • Build AI and large language model-powered workflows to accelerate data transformation, analysis, and application development while maintaining high standards for reliability and maintainability.
  • Own the design, development, and iteration of complex data systems, including 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.

Desired Qualifications

  • 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 analytics dashboards, or equivalent tools.
  • Experience working in AWS, such as with S3, Athena, RDS, Redshift, DMS, Glue, ECS, Lambda, or similar services.
  • Experience working with relational databases and warehouses such as PostgreSQL, Athena, Redshift, Snowflake, or BigQuery.
  • Experience building internal or client-facing analytics products used by multiple teams or customers.

About the Company

Prompt

College essay coaching and EdTech platform

Prompt.com provides writing education focused on college admissions essays, offering one-on-one coaching, detailed written feedback, and a software platform to manage the writing process. It serves two main groups: B2B partners (over 500 college admissions consultants and high schools) via white-labeled software and coaching services, and direct-to-consumer families purchasing coaching packages. Its coaches are drawn from the top 2% of instructors and deliver feedback via video or written guidance, complemented by a literacy curriculum called Pen for English language learners. The company distinguishes itself as the largest provider of college admissions essay coaching and combines scalable software with personalized coaching and an expanding EdTech curriculum, aiming to make high-quality writing instruction accessible and simplify the college application process worldwide.

Company size
51-200
Company stage
Seed
Total funding
$2.1M
Headquarters
New York City, New York
Founded
2017

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