Prompt

5 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Senior Data Engineer responsible for designing, building, and evolving complex data systems and pipelines in a healthcare-focused B2B platform. You will work across product, client success, growth, and operations to transform messy data into reliable datasets, leverage AI/LLM tools to accelerate data work, and deliver measurable data products with strong observability and quality checks.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key 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

Pay and Benefits

Salary: USD 170,000 - 190,000 annually

Perks:Remote WorkHealth InsuranceDentalVisionLife InsuranceDisabilityParental LeavePaid Leave401kWellness Stipend

Key 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 proficiency in Python and SQL for data transformation, analysis, and pipeline development

Experience:4+ yearsHealthcare

Skills:Problem-solvingCommunicationCollaborationOwnership

Tech Stack:PythonSQLDbtMetabaseAWSS3AthenaRedshiftPostgreSQLSnowflakeBigQueryLLMAI

Company Brief

Prompt

Provides an AI-powered cloud EMR and practice management platform for outpatient rehab therapy clinics, combining scheduling, documentation, billing, patient engagement, analytics, and AI scribing to improve clinic efficiency and revenue.

Industry: HealthTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Hoboken, United States

Founded: 2017

Glassdoor: 4.4

Website LinkedIn Glassdoor

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Prompt

5 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key 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

Pay and Benefits

Salary: USD 170,000 - 190,000 annually

Perks:Remote WorkHealth InsuranceDentalVisionLife InsuranceDisabilityParental LeavePaid Leave401kWellness Stipend

Key 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 proficiency in Python and SQL for data transformation, analysis, and pipeline development

Experience:4+ yearsHealthcare

Skills:Problem-solvingCommunicationCollaborationOwnership

Tech Stack:PythonSQLDbtMetabaseAWSS3AthenaRedshiftPostgreSQLSnowflakeBigQueryLLMAI

Company Brief

Prompt

Industry: HealthTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Hoboken, United States

Founded: 2017

Glassdoor: 4.4

Website LinkedIn Glassdoor