9 months ago
Remote, United StatesSenior
Base Salary
$170k - $190k/yr
Responsibilities
- Drive the use of high-quality, actionable data to support client and internal decision-making in healthcare.
- Own the design, development, and iteration of data systems from raw data ingestion through transformation, modeling, and downstream analysis.
- Perform exploratory and hypothesis-driven analysis to surface insights and guide client-facing and internal decisions.
- Use AI- and LLM-powered tools, including code assistants, agents, and automation frameworks, to accelerate data transformation and analysis while maintaining reliability, security, and maintainability.
- Develop well-modeled datasets, complex transformations, and metrics.
- Implement data quality checks, monitoring, and observability for correctness, freshness, and trust.
- Partner with stakeholders across Product, Client Success, Growth, and Operations to define success criteria and deliver useful data products.
Requirements
- At least 4 years of experience building data systems, including pipelines, transformations, and analytical datasets.
- Strong experience designing, building, and operating end-to-end data workflows.
- Experience working with complex, messy, and evolving data sources and creating reliable, well-modeled datasets.
- Experience with exploratory and hypothesis-driven analysis for product, operational, or client-facing decisions.
- Strong judgment regarding data quality, correctness, observability, and maintainability in production data systems.
- Strong proficiency in Python and SQL.
- Experience using modern AI- and LLM-powered tools to accelerate data engineering and analysis workflows.
- Ability to solve problems and operate effectively in ambiguous, fast-paced environments.
- Interest in a hands-on, high-code-contribution individual contributor role rather than engineering management.
- Preferred experience with complex healthcare datasets, including patient care, operations, and billing data.
- Preferred hands-on experience with dbt, Metabase, or similar data transformation and dashboarding tools.
- Preferred experience with AWS services, relational databases, data warehouses, and internal or client-facing analytics products.
Benefits
- Remote/hybrid work environment.
- Flexible paid time off.
- Company-sponsored lunches.
- Company-paid disability and life insurance.
- Company-paid family and medical leave.
- Medical, dental, and vision insurance.
- Discounted pet insurance.
- FSA/DCA and commuter benefits.
- 401(k).
- Complimentary digital fitness classes and wellness content.
- Recovery suite at headquarters with a cold plunge, sauna, and shower.
- Potential equity compensation for outstanding performance.
Tech Stack
Categories
Data Engineering
About Prompt
Prompt develops an AI-enabled electronic medical record and practice management platform for outpatient rehab and musculoskeletal practices, including physical therapy, occupational therapy, speech therapy, pediatrics, and chiropractic. It unifies scheduling, documentation, billing, patient engagement, and analytics, sold as B2B SaaS to clinics. Founded in 2017 and headquartered in Hoboken, New Jersey.