Data Engineer - AI, Hybrid. This Senior Data Engineer role is based in Durham, North Carolina, United States, and operates on a hybrid work model. You will join Cisco’s Growth Metrics Data and Analytics team, focused on embedding AI into decision-making and building scalable data architectures that support CX, Finance, and GTM initiatives. You will design, build, and oversee the deployment and operation of data architecture and software to capture, manage, store, and transform structured and unstructured data from internal and external sources. You will develop technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data, and to maintain data structures and integrity automatically. You will establish design standards and assurance processes for software and data systems, review requirements, and propose upgrades to accommodate evolving needs. You will collaborate with data scientists and business stakeholders to articulate problems and deliver solutions, and you will lead moderately complex, end-to-end projects. Minimum qualifications include a Bachelor's in Computer Science, Data Engineering, AI/ML, Data Science or equivalent with 8+ years of related development experience, or a Master's with 5+ years. Proficiency in Snowflake, Snowflake Intelligence/Co-work, DBT, query optimization, data modeling, ELT/ETL tooling, and cloud-based storage; strong programming skills in SQL, Python, Java/Scala; experience with data quality, validation, and security. Preferred qualifications include a

Data Engineer - AI, Hybrid. This Senior Data Engineer role is based in Durham, North Carolina, United States, and operates on a hybrid work model. You will join Cisco’s Growth Metrics Data and Analytics team, focused on embedding AI into decision-making and building scalable data architectures that support CX, Finance, and GTM initiatives. You will design, build, and oversee the deployment and operation of data architecture and software to capture, manage, store, and transform structured and unstructured data from internal and external sources. You will develop technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data, and to maintain data structures and integrity automatically. You will establish design standards and assurance processes for software and data systems, review requirements, and propose upgrades to accommodate evolving needs. You will collaborate with data scientists and business stakeholders to articulate problems and deliver solutions, and you will lead moderately complex, end-to-end projects. Minimum qualifications include a Bachelor's in Computer Science, Data Engineering, AI/ML, Data Science or equivalent with 8+ years of related development experience, or a Master's with 5+ years. Proficiency in Snowflake, Snowflake Intelligence/Co-work, DBT, query optimization, data modeling, ELT/ETL tooling, and cloud-based storage; strong programming skills in SQL, Python, Java/Scala; experience with data quality, validation, and security. Preferred qualifications include a