Data Science Engineer, Analytics
New
T
TurquoiseHealthcare Technology
This is a fully remote role within the United States., US business hoursFull-TimeMiddle
Salary145,000 - 160,000 USD per year
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Job Details
- Experience
- 2+ years
- Required Skills
- AWSPythonSQLAirflowPandasData modelingdbt
Requirements
- Bachelor's degree or equivalent experience
- 2+ years developing data models, pipelines, and end-to-end analytical solutions
- Proficiency in Python and SQL
- Comfortable with OOP and functional patterns
- Experience with dataframe libraries (pandas, polars)
- 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
- Entrepreneurial mindset
Responsibilities
- Partner cross-functionally with Product, Engineering, and business stakeholders to define metrics, measure outcomes, and evaluate impact
- Build and maintain data pipelines, data models, dashboards, and analytical infrastructure that support product, operational, and strategic decision-making
- Conduct analyses to understand product adoption, customer engagement, business performance, and operational efficiency
- Contribute to the development of analytics best practices, shared datasets, and company-wide metrics
- Seek and act on feedback from internal stakeholders; iterate quickly with an eye toward value
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