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20 hours ago
This is a true full stack role that requires working across frontend, backend, and data layers using Python, Streamlit, Snowflake, and modern DevOps practices. You will help architect and implement a clean, extensible system that supports complex machine learning models, large-scale data processing, and intuitive business-facing applications.
Key Responsibilities:- Design and build full-stack applications using Python, Streamlit, and modern web frameworks to power internal tools, analytics dashboards, and customer-facing products.
- Develop scalable data pipelines to ingest, clean, transform, and serve data from diverse sources into Snowflake and other cloud-native databases.
- Implement low-latency, high-availability backend services to support data science, decision intelligence, and interactive visualizations.
- Integrate front-end components with backend systems and ensure seamless interaction between UI, APIs, and data layers.
- Collaborate with data scientists / ML engineers to deploy models, support experimentation, and enable rapid iteration on analytics use cases.
The ideal candidate should have 5+ years of professional software development experience, with a proven track record of building enterprise-grade, production-ready software applications for businesses or consumers. Required technology experience includes:
- Python as primary programming language (5+ years' experience), Pandas, Numpy, SQL, AWS and/or GCP cloud configuration / deployment, Git / GitHub, Snowflake, and/or Redshift or Big Query.
- Docker, Airflow, Prefect or other DAG orchestration technology.
- Front end engineering (e.g., HTML/CSS, JavaScript, and component-based frameworks).
We value intelligence, curiosity, humility, clean code, measurable impact, clear thinking, hard work and a focus on delivering results. If you are a motivated individual who thrives in a fast-paced environment and is passionate about delivering cutting-edge solutions, we would love to meet you.
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