Data Engineer
Cisco · Posted Nov 6
Networking, cloud, cybersecurity, and enterprise IT infrastructure services
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About the role
Cisco's Commerce Intelligence Data & Analytics team delivers intelligence, advanced analytics, and agentic experiences across business operations, with a mission to build a scalable, unified, AI-ready data foundation. The role works on the modern data stack spanning Snowflake Data Cloud, dbt, and BI/reporting tools such as Sigma and Power BI. As a Data Engineer, you will build end-to-end ETL/ELT pipelines for structured and unstructured data, develop analytics-ready data models and a reusable semantic layer, and integrate AI/LLM capabilities via Snowflake Cortex while collaborating with business functions across time zones.
What you will do
- Conduct in-depth exploratory data analysis to uncover trends and patterns in structured and unstructured datasets.
- Translate complex business requirements into robust data solutions, integrating insights from diverse non-ERP sources with our Enterprise Data Warehouse (EDW).
- Design, build, and optimize scalable ELT/ETL pipelines to ingest, transform, and publish data into the Snowflake Data Cloud.
- Develop and maintain high-quality, analytics-ready data models using dbt, emphasizing modular design, reusability, rigorous testing, and maintainability.
- Design and implement a reusable semantic layer that adheres to architectural standards and supports various consumption patterns (AI, agentic solutions, dashboards).
- Leverage Snowflake Cortex to integrate AI/LLM capabilities directly into data pipelines, enabling advanced analytics.
- Design and develop data consumption layers, including dashboards, reports, conversational analytics, and agentic solutions.
- Champion and enforce data quality, observability, lineage, governance, and access control standards across our AI-ready data architecture.
- Applies working knowledge of databases, relational databases, cloud services, and scripting languages
- Contributes to data quality and compliance, including cleansing and scrubbing of data, data integrations and data quality framework
- Collaborate strategically with data architects, analysts, and business stakeholders to define long-term data strategies and deliver scalable, reliable data solutions.
- Establish and enforce technical governance, CI/CD best practices, and rigorous version control to ensure the integrity, security, and scalability of our modern data stack.
- Demonstrated experience applying Agile, Scrum, or Kanban methodologies within a data engineering environment.
- A self-starter with proven expertise to deliver outcomes with minimal supervision
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
- 5+ years of progressive experience in data engineering, with a proven track record in cloud data warehousing and modern data platform implementations.
- 2+ years of hands-on experience developing AI and agentic solutions, specifically on platforms like Snowflake, AWS, or GCP.
- Deep expertise with the Snowflake Data Cloud, encompassing its architecture, security model, and operational best practices.
- Strong proficiency with dbt (Data Build Tool) for designing, developing, and maintaining data models, including automated testing and CI/CD integration.
- Advanced SQL skills and practical working knowledge of Python for data manipulation and automation.
- 5+ years of experience with leading BI/reporting tools such as Sigma or Power BI.
Preferred qualifications
- Experience with data quality, observability, and lineage tools to enhance monitoring, validation, and governance across complex data pipelines.
- Familiarity with advanced Snowflake capabilities (e.g., zero-copy cloning, secure data sharing, external tables, Snowpark, dynamic tables, MCP gateways).
- Solid understanding of data and solution architecture principles.
- Exposure to other BI/reporting tools (e.g., Tableau, ThoughtSpot) and a keen understanding of diverse downstream analytics consumption patterns.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Cisco
Cisco Systems, Inc. is a worldwide leader in IT, networking, and cybersecurity solutions that transform how people connect, communicate, and collaborate. The company specializes in routing, switching, data center infrastructure, and software-defined networking designed for enterprises of all sizes. Today, Cisco drives major advancements in AI infrastructure, observability, and secure hybrid work platforms.
- Industry
- Networking
- Company size
- 90000+ employees
- Founded
- 1984
- Location
- San Jose, California, USA
- Funding stage
- Public Company
Leadership
Chair and Chief Executive Officer
President and Chief Product Officer
Executive Vice President and Chief Financial Officer
Executive Vice President and Chief People, Policy & Purpose Officer
Executive Vice President and Chief Customer Experience Officer
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