Senior Data Engineer

prompt; United States; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salaries

Remote/hybrid environment

Equity potential

Flexible PTO

Company‑wide lunches

Disability and life insurance

Job summary

Prompt is a mission-driven startup seeking a Senior Data Engineer to advance ambitious healthcare data initiatives. You will build and maintain data pipelines and transformations from diverse sources with a product-focused mindset.

This role drives data products used by clients and internal teams, delivering real value and efficiency. You will work across Product, Client Success, Growth, and Operations, partnering with stakeholders to define success criteria and deliver impactful data solutions.

Qualifications

• Proven experience building data systems and pipelines
• Ability to transform messy data into reliable, well-modeled datasets
• Experience with exploratory and hypothesis-driven analysis to inform decisions
• Strong judgment on data quality, observability, and maintainability in production systems
• Proficiency in Python and SQL for data transformation and pipeline development
• Experience using AI/LLM tools to accelerate data engineering tasks
• Ability to thrive in ambiguous, fast-paced environments
• Hands-on contributor role with growth potential over time

Responsibilities

• Drive Prompt’s mission to produce high-quality, actionable data for client and internal decision-making
• Own the design, development, and iteration of complex data systems from ingestion to downstream analysis
• Conduct exploratory analyses to surface insights and guide decisions for clients and internal teams
• Leverage AI/LLM tools to accelerate data transformation while ensuring reliability and security
• Develop and evolve well-modeled datasets, transformations, and metrics
• Implement data quality checks, monitoring, and observability across data products
• Collaborate with stakeholders to translate workflows into data products that drive improvement

Skills

Python

SQL

Data pipelines

Data transformations

Exploratory analysis

Hypothesis-driven analysis

Data quality observability

Ambiguity handling

Hands-on coding

Tools

dbt

Metabase

AWS

PostgreSQL

Redshift

Snowflake

BigQuery

LLM tooling

Job description

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

Qualifications

• 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

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.