Senior Data Science Engineer
New
T
TurquoiseHealthcare Technology
This is a fully remote role within the United States., US business hoursFull-TimeSenior
Salary170,000 - 185,000 USD per year
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Job Details
- Experience
- 4+ years
- Required Skills
- PythonSQLCloud ComputingETLMachine LearningAirflowData modelingdbtLLM
Requirements
- Bachelor’s degree, or equivalent experience/knowledge
- 4+ years of experience developing data models, pipelines, and end-to-end analytical solutions using Python and SQL
- Familiarity with modern AI tooling and frameworks (e.g., OpenAI APIs, vector databases, RAG architectures)
- Understanding of evaluation strategies and monitoring for LLM-based systems
- Ability to design data systems with scalability, performance, and cost efficiency in mind
- Strong grasp of data architecture and engineering practices, including ETL/ELT workflows, orchestration tools, and cloud-based storage
- Entrepreneurial mindset
- Comfortable working remotely in a collaborative, technical team
Responsibilities
- Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
- Unify and augment multi-source healthcare datasets into high-quality, Analytics-ready data models
- Build and maintain data engineering systems that support AI use cases
- Contribute to building, maintaining, and testing data pipelines
- Draft internal and external technical documentation
- Seek and prioritize technical and product feedback from internal customers
- Iterate quickly with an eye towards value
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