Prompt Health · 17 hours ago
Senior Data Engineer
Prompt Health is a mission-driven startup looking for an experienced Senior Data Engineer to help push forward an ambitious set of data initiatives in healthcare. The role focuses on building and maintaining data pipelines and transformations to drive decision-making and improve outcomes for clients and patients.
Health CareInformation TechnologyMedicalSoftware
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
Qualification
Required
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
Preferred
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
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
Company
Prompt Health
A fully integrated enterprise software solution for the physical therapy industry.
Funding
Current Stage
Growth StageRecent News
Morningstar.com
2025-06-24
Company data provided by crunchbase