Remote
8 months ago

Job Overview

Job Type
FullTime
Pay
$170K – $190K

Job description

Salary:
USD 170,000 - 190,000 per year
Location:
Remote, United States
Work arrangement:
Remote

Role Summary

Job Title: Senior Data Engineer

Prompt is a mission-driven startup looking for an experienced Senior Data Engineer to help push forward an ambitious set of data 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 Sr. Data Engineer who can operate broadly across the team, with a product-focused mindset in building and maintaining data pipelines and data transformations from complex data sources. Comfort developing hypotheses, modeling datasets, and analyzing that data to guide client and internal decision making is essential. This role will contribute to internal and external facing data and analytic 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, partnering closely with stakeholders, and ensuring our data products deliver real value.

Responsibilities

  • Drive Prompt’s mission to improve healthcare through high-quality, actionable data that informs client and internal decision-making
  • Own the design, development, and iteration of complex data systems — from raw data ingestion through transformation, modeling, and downstream analysis
  • Perform exploratory analysis and hypothesis-driven investigations to surface insights and guide both client-facing and internal decision-making
  • Leverage modern AI and LLM-powered tools (e.g., code assistants, agents, automation frameworks) to accelerate data transformation, analysis, and iteration — while maintaining high standards for reliability, security, and maintainability
  • Develop and evolve well-modeled datasets, complex transformations, and metrics
  • Design and implement data quality checks, monitoring, and observability to ensure correctness, freshness, and trust in data products
  • Partner with stakeholders across the company to understand client and internal workflows, define success criteria, and deliver data products to drive improvement

Requirements

  • 4+ years of experience building data systems, including data pipelines, transformations, and analytical datasets
  • Strong experience designing, building, and operating end-to-end data workflows—from raw data ingestion through transformation, modeling, and downstream analysis
  • Proven ability to work with complex, messy, and evolving data sources and turn them into reliable, well-modeled datasets
  • Experience performing exploratory and hypothesis-driven analysis to inform product, operational, or client-facing decisions
  • Strong judgment around data quality, correctness, observability, and maintainability in production data systems
  • Strong proficiency in Python and SQL for data transformation, analysis, and pipeline development
  • Experience leveraging modern AI and LLM-powered tools (e.g., code assistants, agents, automation frameworks) to accelerate data engineering and analysis workflows
  • 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 data transformation and dashboarding 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

Benefits

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. Please don't hesitate to inquire with our team.

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.

Prompt Therapy Solutions, Inc is an E-Verify Employer.

About the Company

Prompt is revolutionizing healthcare by delivering highly automated and modern software to rehab therapy businesses, the teams within, and the patients they serve. As the fastest-growing company in the space and the new standard in healthcare technology, we strive to attract top talent who share our vision and values.

Revolutionize rehab therapy practices with our leading healthcare software, designed to enhance patient care, increase practice revenue, and help reduce overhead and administrative costs through enhancing efficiencies of teams. As a rapidly expanding company, we’re inviting a Business Development Representative with a Physical Therapy background to propel our growth. This role is a bridge between cutting-edge technology and transformative technology that drives efficiencies and evolves the PT business, perfect for those eager to drive industry evolution.

Why work for Prompt?

Hybrid Work Model: Achieve the perfect work-life balance with our flexible hybrid schedule. Enjoy the camaraderie of the office at least 3 days a week where you will be working with Prompt’s leadership team.

Stunning Workspace: Our office just relocated to a brand new, state of the art luxury building on the waterfront in Hoboken, NJ overlooking NYC.The space is designed to inspire creativity and foster collaboration.

BIG Challenges: Here at Prompt, we are solving complex and unique problems that have plagued the healthcare industry since the dawn of time.

Role:
Senior Data Engineer
Job Type:
FullTime

Company profile

Prompt, also known as Prompt Health or Prompt Therapy Solutions, provides an EMR and practice management platform for rehab therapy and chiropractic clinics, from single-provider practices and startups to large enterprise organizations. Its software automates scheduling, billing, documentation and patient communication, and the company cites data from over 1,000 practices showing 75% less documentation time. Prompt aims to help outpatient rehab organizations treat more patients and turn a paper-heavy industry digital, and its office is in Hoboken, New Jersey.

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