Senior GenAI Data Engineer, Databricks

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Enroute

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

📡 Telecommunications

SaaS • Enterprise • Telecommunications

Enroute is a company that delivers exceptional IT services and solutions, staffed by a team of passionate, problem-solving individuals skilled in various IT and business practices. They specialize in data engineering, moving and utilizing data effectively to increase business value, regardless of data sources or types. Enroute also offers software development services, providing analysis and implementing software strategies tailored to long-term organizational needs. Quality engineering is another key offering, with a focus on building quality into processes and software testing from the early stages of development. With a strong emphasis on IT strategy, software and data solutions, Enroute aims to impact organizations and improve user experiences through their tailored services and expert solutions.

📋 Description

• Architect AI Agents: Build and deploy agents that can perform NLP-based data generation, automated data enrichment, and complex data reasoning within Databricks. • Natural Language Interfaces: Develop "Chat with your Data" features, allowing stakeholders to query the data warehouse using natural language. • Integrate LLMs into data workflows for automation and intelligence • Develop scalable data models to support analytics and AI use cases • Implement AI-driven enhancements such as anomaly detection and data enrichment • Collaborate with data, analytics, and engineering teams to improve data reliability • Optimize performance and scalability of data and AI workflows • Support automation through CI/CD practices • Ensure data quality, traceability, and maintainability across pipelines

🎯 Requirements

• Databricks & AI Architecture (Must-Have) • - Strong experience working with Databricks Lakehouse architecture • - Nice to have expertise in Databricks Mosaic AI and Unity Catalog for governing AI assets • - Hands on experience Building RAG (Retrieval-Augmented Generation) pipelines using Vector Search • SQL & Data Modeling (Must-Have) • - Advanced SQL development • AI Engineering & Data Workflows (Must-Have) • - Experience integrating LLM APIs (OpenAI, Anthropic, etc.) into data workflows • - Hands-on experience using AI for: • - Data enrichment • - Anomaly detection • - Automated classification • - Experience with LangChain, LlamaIndex, or similar frameworks • - Exposure to Model Context Protocol (MCP) or similar approaches to connect AI models with external tools and data sources • - Strong understanding of Tool Calling / Function Calling: enabling LLMs to interact with SQL databases and external APIs securely. • - Experience in Prompt Engineering and Guardrailing: designing system prompts that maintain context and hierarchy (e.g., understanding team associations). • Platform & Engineering Practices (Nice-to-Have / Medium) • - Experience with GitHub workflows • - Familiarity with CI/CD pipelines (Jenkins or similar) • - Experience working with YAML/YML configuration files

🏖️ Benefits

• Monetary compensation • Year-end Bonus • IMSS, AFORE, INFONAVIT • Major Medical Expenses Insurance • Life Insurance • Funeral Expenses Coverage • TDU Membership • MediAccess • Health Check-Up Subsidy • Preferential rates for car insurance • Vacations • Official Mexican Holidays • Life Happens Days • Bereavement Leave • Civil Marriage Leave • English Classes • Certifications • Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS) • Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf) • Taquitos Rewards • Birthday Bonus • Work-from-home Bonus • Laptop Policy