Data Engineer

Job Summary

Meet the Team

Join a high-performing team that is transforming the way Cisco delivers enterprise data, analytics, and AI-driven business solutions. Our organization builds next-generation platforms that power critical business capabilities across Sales, Customer Success, Services, Renewals, and Enterprise Agreements. We are at the forefront of leveraging Generative AI, Agentic AI, Machine Learning, and modern cloud technologies to automate complex workflows, accelerate engineering productivity, and deliver intelligent business insights at scale. As part of this team, you will shape Ciscos AI strategy by designing innovative solutions that solve real business challenges while influencing enterprise-wide technology adoption.

Your Impact

Join our team as a Data Engineer focused on modern data and AI solutions. This role offers the opportunity to work on high-impact platform modernization and AI initiatives from design through production.

Responsibilities

• Build and optimize Snowflake and dbt data pipelines using advanced SQL and Python.
• Design and integrate enterprise data engineering and AI solutions, including LLM, RAG, and AI Agent use cases.
• Develop and manage complex system integrations and Control-M workflows across enterprise platforms.
• Partner with architects, engineers, and business stakeholders to deliver secure, scalable, and production-ready solutions.
• Contribute to platform modernization, data quality, automation, and AI innovation across the enterprise.

Minimum Qualifications

• Bachelor's or master's degree in Computer science, Data Science, Artificial Intelligence, Engineering, or a related technical field.
• 3+ years of experience in data engineering, solution architecture, or enterprise application development, including 2+ years delivering AI/ML or Generative AI solutions.
• Hands-on experience developing data solutions using Snowflake, dbt, advanced SQL, and Python, including enterprise data pipelines and integrations.
• Experience with LLMs, Generative AI, RAG, or AI Agents, with exposure to cloud platforms such as AWS, Azure, or Google Cloud.
• Experience delivering enterprise-scale integrations and modernization initiatives, including APIs, Control-M, SAP HANA, SIT, data validation, and production deployment.

Preferred Qualifications

• Experience implementing Agentic AI, AI copilots, intelligent automation, or enterprise knowledge assistants using LangChain, LangGraph, Semantic Kernel, or similar frameworks.
• Experience with enterprise data platforms including Snowflake, Databricks, dbt, Spark, vector databases, and data governance frameworks.
• Strong understanding of Responsible AI, AI security, governance, model evaluation, and enterprise compliance considerations.
• Excellent communication and stakeholder management skills, with the ability to collaborate with technical and business leaders across cross-functional teams.
• Demonstrated innovation, continuous learning, and mentoring with the ability to drive AI solutions from proof of concept through production and enterprise adoption.

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