Python developer for data applications

Xcede; United States; Remote; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Xcede ищет практичного Python-разработчика для своей команды Data science. Ваша задача — создавать дата-приложения и автоматизированные пайплайны, роботизировать процессы и внедрять решения в продакшн.

Работа подразумевает тесное взаимодействие с бизнес-стейкхолдерами и использование AI-кадовых инструментов для ускорения разработки. Требуется 5–10 лет опыта, глубокое владение Python и SQL, умение проектировать удобные UI и интегрировать решения с Snowflake.

Qualifikationen

• Опыт hands-on разработки 5–10 лет.
• Твердый Python, опыт разработки веб-приложений и UI.
• Сильный SQL и коммерческий опыт работы со Snowflake.
• Интеграция Python-приложений с Snowflake и REST API.

Aufgaben

• Разрабатывать и разворачивать Python веб-приложения и UI, от прототипов до продакшна.
• Создавать удобные UI для данных и AI-приложений.
• Интегрировать приложения с Snowflake, Cortex и REST API.
• Разрабатывать и поддерживать автоматизированные конвейеры данных на Python и SQL.
• Переводить Excel/файловые процессы в надежные Snowflake-пайплайны.
• Разрабатывать приложения с LLM/AI-агентами и управляемыми рабочими процессами.
• Использовать AI-ассистентов для ускорения прототипирования и тестирования.

Kenntnisse

Python

SQL

Snowflake

REST APIs

LLMs

AI agents

CI/CD

Git

UI/UX

Tools

Snowflake Cortex

Dagster

dbt

Docker

Kubernetes

Azure App Service

Jobbeschreibung

Описание

My client, a specialist consultancy within Data and AI is looking for a hands on Python developer to join its data science team, working with a client to build data applications and automated pipelines that replace manual processes. You will use AI coding tools every day to speed up how you build, test and deliver. This is a delivery role. You will be embedded in an established, mature team, working closely with business users and taking solutions from first prototype through to production.

Задачи

• Building and deploying Python web applications, mainly in Shiny, from rapid prototypes to production
• Creating responsive, intuitive interfaces for data and AI applications
• Integrating applications with Snowflake, Snowflake Cortex and REST APIs
• Building and maintaining automated data pipelines in Python and SQL
• Moving Excel and file based processes into reliable, automated Snowflake pipelines
• Developing applications powered by LLMs, AI agents and agentic workflows
• Using AI coding agents to speed up prototyping, development and testing
• Designing reusable application components and data solutions that support several business functions
• Implementing authentication, access controls and background processing where needed
• Working directly with business stakeholders to understand requirements, build solutions and manage delivery
• Making sure everything you build is tested, documented and maintainable

Требования

• Around 5 to 10 years of hands on development experience
• Strong Python, with experience building web applications and user interfaces.
• Shiny experience is not essential: if you understand how to build a good UI, think about the data model behind an app and care about the user experience, you will pick it up quickly with existing codebases to learn from
• Strong SQL and commercial experience with Snowflake
• Experience integrating Python applications with Snowflake and REST APIs
• A track record of turning manual, Excel based or file based processes into automated data solutions
• Experience taking applications from prototype to production
• Regular, hands on use of AI coding agents for coding, debugging, testing and delivery
• Solid engineering practices, including Git, automated testing and CI/CD
• The ability to work independently, manage your own priorities and deliver to agreed timelines
• Clear, concise communication and confidence building relationships with business stakeholders

Будет плюсом

• ETL or ELT pipeline design, including orchestration with Dagster and transformation with dbt; Snowflake Cortex, including Agents, Search and LLM integration; Experience building AI powered applications and conversational interfaces;
• Azure App Service, authentication and user level access controls;
• Configuration driven development using YAML or similar;
• Docker or Kubernetes;
• Application monitoring, logging and observability;
• LLM frameworks and prompt engineering

Условия

6 to 12 months (longer term available at a lower day rate) Outside IR35 Start ASAP