# Senior Data Engineer

**Company:** [Prompt Health](https://hotfix.jobs/companies/prompt-health)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $170k – $190k/yr
**Experience:** 4+ years
**Skills:** Python, SQL, dbt, Metabase, AWS, S3, Athena, Redshift, Postgres, Snowflake
**Posted:** 2026-02-04

> Builds and maintains end-to-end data pipelines from raw ingestion to analysis, using Python, SQL, and AI tools to create actionable insights for healthcare clients and internal teams. Requires 4+ years experience handling complex data systems with focus on quality and observability.

## Job Description

## 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

## Qualifications
- 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

## 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

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**Canonical:** https://hotfix.jobs/jobs/01e0e83a-1096-403e-991b-b0bafbef63b7