AI Data Engineer

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🕒 Março 24

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TechTorch

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2021

🤖 Inteligência Artificial

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

A TechTorch é uma empresa nativa de IA B2B que oferece soluções de operações de receita e transformação digital para empresas e companhias de portfólio apoiadas por private equity. Sua plataforma Beacon e agentes de IA automatizam fluxos de trabalho de receita como cotação para caixa, modernização de CRM (Salesforce, HubSpot, Dynamics), CPQ, integração de dados, analytics, faturamento/assinaturas, entre outros, para acelerar o crescimento, reduzir erros e entregar valor mensurável e rápido.

Descrição

• Design, build, and maintain scalable data pipelines using Snowflake as the central data platform • Develop AI-ready data models and feature layers to support analytics, ML, and GenAI use cases • Leverage Snowflake Cortex AI for embedding, classification, summarization, and AI-assisted analytics • Integrate and operationalize AI workflows using AWS Bedrock and related AWS services (e.g., Lambda, Step Functions) • Build and optimize ELT pipelines using tools such as dbt, SQL, and Python • Integrate data from diverse sources including APIs, SaaS platforms, databases, and event streams • Ensure data quality, observability, and governance across pipelines and AI workloads • Collaborate with AI engineers, data scientists, and business teams to translate use cases into scalable data solutions • Document data models, pipelines, and AI-related design decisions clearly for long-term maintainability

🎯 Requisitos

• 4+ years of experience in data engineering, with strong hands-on Snowflake experience • Practical experience building AI-enabled data solutions or preparing data for ML/LLM workloads • Strong proficiency in SQL and Python for data transformation and pipeline development • Experience with Snowflake Cortex AI or similar warehouse-native AI capabilities • Hands-on experience with AWS, ideally including AWS Bedrock, Lambda, S3, and IAM • Experience with ELT tooling such as dbt, Airflow, or similar orchestration frameworks • Solid understanding of data modeling, data warehousing, and performance optimization • Comfortable working in cloud-native, enterprise environments with high delivery expectations • Strong communication skills and ability to collaborate across technical and business teams

🏖️ Benefícios

• Opportunity to work on AI-first data platforms using Snowflake Cortex and AWS Bedrock • High-impact role at the intersection of data engineering and applied AI • Exposure to private equity-backed enterprise transformation programs • Global, collaborative team with strong technical standards • Flexible, remote-first working environment with autonomy and ownership