prompt - Senior Data Engineer
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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 • Nice-to-Haves • 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
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
Benefits
• Competitive salaries • Remote/hybrid environment • Potential equity compensation for outstanding performance • 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 • Complimentary subscription to digital fitness classes and wellness content • Recovery suite at HQ – includes a cold plunge, sauna, and shower • Here at Prompt, we are committed to fostering a fair and respectful work environment. As part of this commitment, it is our policy not to hire individuals from Prompt Customers unless they have obtained their current employer's explicit consent. We believe in upholding strong professional relationships and respecting the agreements and commitments our customers have with their employees. We appreciate your understanding and cooperation regarding this policy. Please don't hesitate to inquire with our team.
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