Description
Join a high-performing team at Cisco that is transforming the way the company delivers enterprise data, analytics, and AI-driven business solutions.
As a Data Engineer focused on modern data and AI solutions, you will work on high-impact platform modernization and AI initiatives from design through production.
Key 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