Data Engineer
Core
Design and deliver AI-augmented data pipelines and analytical systems that feed machine learning models and LLM-based insight pipelines for Cisco's global customer experience strategy.
Role type
Senior Data Engineer (AI Analytics specialization) (via careerplan.io/jobs/2015741-1-data-engineer-at-cisco)
Builds
AI-augmented data pipelines, analytical frameworks, and the architectural evolution of Cisco's customer analytics AI platform.
Domain
Enterprise AI, Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Snowflake (schema design, query optimization), Python (data engineering, API integration, LLM API calls), SQL (complex aggregations, window functions), dbt (modeling, testing, snapshots), LLM API integration, data quality/observability frameworks.
Preferred skills
GCP AI services (Vertex AI, Cloud Run), LLM orchestration (LangChain, LlamaIndex), vector databases, RAG architecture, Snowflake Cortex, MLOps practices.
Technologies
Snowflake, dbt, Python, GCP (Cloud Run, API Gateway, Vertex AI), LangChain, Power BI, OpenAI, Anthropic.
Responsibilities
Design and build data pipelines in Snowflake and Python for LLM-based insight generation; Develop and maintain dbt models for AI-ready data surfaces; Write production-grade Python for data ingestion and LLM API integration; Integrate with GCP services to build end-to-end AI data pipelines; Build data quality and observability frameworks to prevent AI pipeline failures; Collaborate with BI engineers on analytical output surfaces.
Seniority
Senior, hands-on IC
