[Remote] Data Engineer

Note: The job is a remote job and is open to candidates in USA. The confidential global hospitality organization is seeking an experienced Data Engineer to build scalable Snowflake-native data solutions, applications, APIs, and AI-enabled capabilities. The role focuses on developing data pipelines, Snowflake applications, backend services, REST APIs, and enterprise AI solutions while partnering with technical and business stakeholders.

Responsibilities

• Design, develop, and maintain scalable Snowflake-native data pipelines supporting enterprise data and analytics workloads
• Build data applications and services leveraging the Snowflake Native App Framework and related Snowflake capabilities
• Develop interactive data applications and user experiences using Streamlit in Snowflake
• Design and implement Python-based Snowpark Container Services workloads for applications, APIs, AI/ML solutions, and specialized data-processing requirements
• Develop and optimize data ingestion, transformation, orchestration, and processing solutions within Snowflake
• Design and implement AI-enabled solutions using Snowflake Cortex AI, including appropriate large language model and generative AI capabilities
• Integrate AI capabilities into data applications, workflows, APIs, and enterprise business processes
• Develop scalable backend services and APIs using object-oriented programming languages such as Python, Java, Go, and TypeScript/JavaScript
• Design and implement RESTful APIs and application integration patterns connecting Snowflake with internal and external systems
• Apply strong software engineering principles, including object-oriented design, modular architecture, reusable components, automated testing, version control, and CI/CD
• Partner with data architects, application developers, data scientists, product teams, and business stakeholders to translate requirements into scalable technical solutions
• Troubleshoot data pipelines, applications, APIs, and production workloads and identify opportunities to improve reliability, scalability, security, and performance
• Develop technical documentation covering architecture, data flows, application components, APIs, deployment processes, and operational procedures
• Follow enterprise standards for data security, access management, governance, observability, and software development

Skills

• 4+ years of strong hands-on data engineering experience , including significant experience developing solutions on Snowflake
• 4+ years of experience with Snowflake-native data pipelines and data engineering capabilities
• Strong hands-on experience with the Snowflake Native App Framework and development of applications within the Snowflake ecosystem
• Experience developing applications using Streamlit
• Hands-on experience with Snowpark Container Services , including development and deployment of Python-based containerized workloads
• 2+ years of experience developing or implementing AI-enabled solutions , including generative AI, machine learning, or LLM-based capabilities
• Hands-on experience with Snowflake Cortex AI , including incorporating Cortex capabilities into enterprise data or application solutions
• 4+ years of demonstrated application and backend API development experience using object-oriented programming and one or more of the following: • Python • Java • Go • TypeScript/JavaScript
• Strong Python development skills, particularly for data processing, application development, APIs, and Snowflake workloads
• Experience designing and developing REST APIs, backend services, and application integrations
• Strong SQL skills and experience working with complex enterprise datasets
• Solid understanding of object-oriented programming, software design patterns, API architecture, and modern application-development practices
• Experience with Git-based source control and modern CI/CD practices
• Experience developing applications using Streamlit , preferably Streamlit in Snowflake
• Experience with additional Snowflake capabilities such as Snowpark, Streams, Tasks, Dynamic Tables, Snowpipe, and Snowpipe Streaming
• Experience building production-grade generative AI or LLM applications
• Knowledge of RAG (Retrieval-Augmented Generation), embeddings, vector search, prompt engineering, and AI application architecture
• Experience integrating Snowflake Cortex AI with enterprise applications and data products
• Experience designing containerized applications and working with Docker or Kubernetes concepts
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud
• Experience with enterprise data architecture, data modeling, data governance, and data security
• Experience working in Agile/Scrum software development environments
• Snowflake Data Engineering: Advanced Snowflake development, native pipelines, Snowpark, Streams, Tasks, Dynamic Tables, Snowpipe, and performance optimization
• Snowflake Application Development: Snowflake Native Apps, Streamlit in Snowflake, Snowpark Container Services, and application architecture
• Artificial Intelligence: Snowflake Cortex AI, generative AI/LLMs, AI application integration, and intelligent data processing
• Software & API Engineering: Python, Java, Go, TypeScript/JavaScript, object-oriented programming, REST APIs, backend services, and application integration
• Enterprise Engineering Practices: Git, CI/CD, testing, security, observability, documentation, and scalable solution design

Benefits

• Remote (Preferably in the Greater Chicago Area)

Company Overview

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