Senior Product Engineer, Data Applications
New
B
Bedrock TalentHealthcare Technology
Remote (U.S.) or NYC hybrid (preferred)Full-TimeSenior
Salary$170,000–$190,000, plus equity and benefits
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Job Details
- Experience
- Six or more years of professional experience
- Required Skills
- PythonSQLDjangoSnowflakeVue.JsData visualizationdbt
Requirements
- Six or more years of professional experience building production web applications across the frontend and backend.
- Strong proficiency in Python, Django/DRF, Vue, and SQL.
- Experience with data visualization frameworks and API design.
- Experience designing or consuming data models and ETL pipelines using Snowflake, dbt, or similar technologies.
- Proven ability to translate product requirements into technical architecture.
- Familiarity with healthcare, analytics, or enterprise SaaS environments.
- Clear communication and cross-functional collaboration skills.
- Experience with healthcare or value-based care analytics, EHR data, or claims data models (preferred).
- Experience integrating LLM-driven insights or AI-based summarization (preferred).
- Strong understanding of data visualization principles and UX for analytics products (preferred).
- Background in technical product management or a hybrid engineering/product role (preferred).
- Previous experience in an early-stage or high-growth startup environment (preferred).
Responsibilities
- Design, build, and maintain data-driven applications such as performance dashboards, scorecards, and analytics workbenches.
- Architect end-to-end features by connecting backend models, APIs, and frontend components.
- Translate user needs and clinical and financial metrics into intuitive visualizations and actionable interfaces.
- Integrate data pipelines, LLM-generated insights, and healthcare analytics into user-facing modules.
- Design for maintainability, reusability, and performance while ensuring system reliability.
- Collaborate with designers to create cohesive, user-friendly experiences.
- Establish engineering best practices, documentation, and component libraries.
- Utilize AI-assisted tooling to accelerate development and code quality.
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