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Senior Data Engineer
JOB SUMMARY
Roles
Job details
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.
The role will contribute to internal and external facing data and analytic products – helping drive extraordinary outcomes for clients and their patients while internally driving efficiency and decision-making across Product, Client Success, Growth, and Operations.
Requirements
4+ years of experience building data systems, including data pipelines, transformations, and analytical datasetsStrong experience designing, building, and operating end-to-end data workflows—from raw data ingestion through transformation, modeling, and downstream analysisProven ability to work with complex, messy, and evolving data sources and turn them into reliable, well-modeled datasetsExperience performing exploratory and hypothesis-driven analysis to inform product, operational, or client-facing decisionsStrong proficiency in Python and SQL for data transformation, analysis, and pipeline developmentExperience leveraging modern AI and LLM-powered tools to accelerate data engineering and analysis workflowsStrong problem-solving mindset and ability to operate effectively in ambiguous, fast-paced environments
Benefits
Competitive salariesRemote/hybrid environmentPotential equity compensation for outstanding performanceFlexible PTOCompany-wide sponsored lunchesCompany paid disability and life insurance
benefits
Company paid family and medical leaveMedical, dental, and vision insurance
benefits
Discounted pet insuranceFSA/DCA and commuter
benefits
401kComplimentary subscription to digital fitness classes and wellness contentRecovery suite at HQ – includes a cold plunge, sauna, and shower.
The role will contribute to internal and external facing data and analytic products – helping drive extraordinary outcomes for clients and their patients while internally driving efficiency and decision-making across Product, Client Success, Growth, and Operations.
Requirements
4+ years of experience building data systems, including data pipelines, transformations, and analytical datasetsStrong experience designing, building, and operating end-to-end data workflows—from raw data ingestion through transformation, modeling, and downstream analysisProven ability to work with complex, messy, and evolving data sources and turn them into reliable, well-modeled datasetsExperience performing exploratory and hypothesis-driven analysis to inform product, operational, or client-facing decisionsStrong proficiency in Python and SQL for data transformation, analysis, and pipeline developmentExperience leveraging modern AI and LLM-powered tools to accelerate data engineering and analysis workflowsStrong problem-solving mindset and ability to operate effectively in ambiguous, fast-paced environments
Benefits
Competitive salariesRemote/hybrid environmentPotential equity compensation for outstanding performanceFlexible PTOCompany-wide sponsored lunchesCompany paid disability and life insurance
benefits
Company paid family and medical leaveMedical, dental, and vision insurance
benefits
Discounted pet insuranceFSA/DCA and commuter
benefits
401kComplimentary subscription to digital fitness classes and wellness contentRecovery suite at HQ – includes a cold plunge, sauna, and shower.
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Prompt United States




