Data Science Engineer, Contracts
T
TurquoiseHealthcare
US-based candidatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2+ years
- Required Skills
- PythonSQLDjangoAirflowPandasdbt
Requirements
- Bachelor's degree or equivalent experience
- 2+ years developing data models, pipelines, and end-to-end analytical solutions in Python and SQL
- Comfortable with OOP and functional patterns, code organization beyond scripts, and debugging workflows
- Experience with dataframe libraries (pandas, polars)
- Familiarity with backend web app development (Django) or willingness to learn
- Experience with ETL/ELT workflows and orchestration (Airflow, dbt)
- Comfort with cloud services (AWS S3, EC2, RDS)
- Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads
- Entrepreneurial mindset: you prioritize tasks with an eye for evolving business needs
- Comfortable working remotely in a collaborative, technical team
Responsibilities
- Build and maintain software and data pipelines in support of contract management and AI-assisted workflows
- Work cross-functionally with Product, Engineering, and subject matter experts to conceptualize, prototype, and build data solutions
- Contribute to data capabilities around contract modeling, automated pricing, and payer policy intelligence
- Draft technical design and documentation
- Seek and prioritize technical and product feedback from internal customers
- Iterate quickly with an eye towards value
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