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

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data systemsdata pipelinesdata transformationsanalytical datasetsdata workflowsdata quality checksPythonSQLdata engineeringdata analysis

Soft Skills

problem-solvingjudgmentcollaborationadaptabilitycommunicationcritical thinkingattention to detaildecision-makingstakeholder engagementoperational effectiveness