Data Engineer

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

Meet the Team:

• We manage the end-to-end lifecycle of people data, currently focussed on elevating our established Oracle Data Warehouses to a modern Google Cloud Data Lake to ensure seamless data flow.

• Our work is the foundation of the company’s AI strategy; by transforming and distributing high-quality data, we enable the advanced analytics and machine learning models that drive our business forward.

• We are a small collaborative group of professionals who value a "growth-first" culture, blending the wisdom of seasoned data architects with the fresh, cloud-native perspectives of our newer engineers.

• You will be at the forefront of a major architectural transformation, gaining hands-on experience in solving complex, real-world data challenges while preparing our infrastructure for the future of AI.

Impact

• You will join our team to build the data foundation for our organization’s AI initiatives by modernizing how we handle and distribute people data.
• You will gain hands-on experience in a unique environment- Oracle Data Warehouses and modern Google Cloud Data Lakes.
• You will design and implement data transformation pipelines, manage system integrations, and contribute to the architectural evolution required for advanced analytics.
• Your work will directly influence how we leverage data to make informed decisions. By ensuring our data is clean, accessible, and AI-ready, you are helping build the future of our company.

Minimum Qualifications:

• A Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related quantitative field.
• Strong proficiency in SQL (writing complex queries, joins, and data manipulation).
• Foundational experience with at least one programming language commonly used in data pipelines, such as Python or Java.
• A solid understanding of data warehousing concepts (e.g., ETL/ELT processes, schema design, and data modeling) and familiarity with relational database management systems (RDBMS).

Preferred Qualifications:

• Academic or project-based exposure to cloud platforms (Google Cloud Platform, AWS, or Azure) and a willingness to learn modern data lake architectures.

• Familiarity with working in an Agile/Scrum environment, including experience with tools like Jira or Confluence.

• Proven ability to troubleshoot technical issues and effectively communicate complex data findings to both technical and non-technical stakeholders.

• Strong analytical skills and a desire to learn modern data engineering best practices.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.