
Data Engineer for AI Driven Platforms
4 days ago
Our business is seeking a Senior Full Stack Software Development Engineer with deep data engineering experience to help build cutting-edge software and data infrastructure.
This role involves working across frontend, backend, and data layers using Python, Streamlit, Snowflake, and modern DevOps practices.
Key Responsibilities:- Design and build full stack applications using Python, Streamlit, and modern web frameworks.
- 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 and decision intelligence.
- 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 and support experimentation.
- Define and evolve our data strategy and architecture.
- 5+ years of professional software development experience.
- Required technology experience with Python, Pandas, SQL, AWS, GCP, Snowflake, Redshift, Big Query, Docker, Airflow, Prefect, Front end engineering, HTML/CSS, JavaScript, and component-based frameworks.
- Hands-on experience with modern front-end technologies — HTML/CSS, JavaScript, and component-based frameworks.
- Experience designing and managing scalable data pipelines, data processing jobs, and ETL/ELT.
- Experience in defining Data Architecture and Date Engineering Architecture.
- Experience building and maintaining well-structured APIs and microservices in a cloud environment.
- Working knowledge of, and experience applying, data validation, privacy, and governance.
- Comfort working in a fast-paced startup environment with evolving priorities and an Agile mindset.
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