Senior Full Stack Engineer - Data & Analytics

Launch Tennessee; United States; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salaries

Remote/hybrid environment

Flexible PTO

Medical, dental, and vision insurance

401k

Job summary

Launch Tennessee seeks an experienced Senior Full Stack Engineer to contribute to healthcare data and analytics initiatives. This role involves driving decision-making through actionable data and building features from data modeling to user-facing interfaces.

With responsibilities that include developing AI workflows and ensuring the reliability of data systems, candidates should have solid software experience, particularly in Python and SQL, and a passion for shaping product direction in a dynamic startup environment.

The position offers flexibility and competitive compensation, contributing to a positive impact in healthcare.

Qualifications

• 4+ years of software development experience with focus on full-stack web development.
• Strong proficiency in Python and SQL for data transformation and analysis.
• Experience with modern frameworks like React or Vue for data-rich applications.
• Ability to work with complex and evolving data sources.

Responsibilities

• Drive Prompt's mission through actionable data for decision-making.
• Build full-stack data and analytics product features end-to-end.
• Develop AI/LLM-powered workflows for data transformation.
• Analyze data and design complex data systems.

Skills

Software development

Full-stack web development

Data modeling/analysis

Python

SQL

React

AI development tools

Data workflows

Communication skills

Tools

AWS

dbt

Metabase

PostgreSQL

Job description

Job Title: Senior Full Stack Engineer - Data & Analytics

Prompt is a mission-driven startup looking for an experienced Senior Full Stack Software Engineer to help push forward an ambitious set of data and analytics initiatives in healthcare, with a particular emphasis on making data actionable to drive decision making.

Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and most importantly the patients they serve. We've established ourselves as the go-to platform in the space and are rapidly growing our market share by delivering software people love.

As we scale, data is becoming increasingly central to how we make decisions and drive improvement. We're looking for a Senior Full Stack Engineer who is a true generalist — comfortable moving between application code, data pipelines, and the user-facing surfaces that make data useful — and who uses modern AI tooling to move faster and build better. This role will contribute to internal and external facing data and analytics products — helping drive extraordinary outcomes for our clients and their patients while internally driving efficiency and decision‑making across Product, Client Success, Growth, and Operations.

This is a high-ownership role focused on iteratively building systems end-to-end, partnering closely with stakeholders, and ensuring our data and analytics products deliver real value.

Why work for Prompt?

• Big Challenges: Here at Prompt, we are solving complex and unique problems that have plagued the healthcare industry since the dawn of time.
• Talented People: Prompt didn't happen by chance, it's a team of incredibly talented and proven individuals who all made their mark before joining forces to build the greatest software on the planet for rehab therapists.
• Healthy Approach: This isn't an investment bank. At Prompt you own your workload and the entire organization takes a liking to smart work (over hard work).
• Positive Impact: Prompt helps outpatient rehab organizations treat more patients and deliver better care with less environmental waste. That means less surgery and less narcotic-based pain treatment, all while turning a paper-heavy industry digital.

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.
• 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; this is not an engineering management position, though growth opportunities exist over time.

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.

Perks - What you can expect:

• 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

Here at Prompt, we are committed to fostering a fair and respectful work environment. As part of this commitment, it is our policy not to hire individuals from Prompt Customers unless they have obtained their current employer's explicit consent. We believe in upholding strong professional relationships and respecting the agreements and commitments our customers have with their employees. We appreciate your understanding and cooperation regarding this policy.

Prompt Therapy Solutions, Inc is an equal opportunity employer, indiscriminate of race, color, religion, ethnicity, ancestry, national origin, sex, gender, gender identity, sexual orientation, age, marital status, veteran status, disability, medical condition, or any other protected characteristic. We celebrate diversity and are committed to creating an inclusive environment for all employees.