Data Engineer
Listed on 2026-06-26
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IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
The application window is expected to close on: 06/30/2026
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Meet the TeamAre you ready to build the foundational technology that powers global data‑driven decisions? You will join a forward‑thinking group dedicated to designing sophisticated systems that capture and manage structured and unstructured data from diverse sources. Our team leverages cutting‑edge AI and machine learning to transform raw data into actionable intelligence, directly impacting how Cisco scales its global operations. We play a critical role in ensuring data integrity and security in a high‑impact environment where innovation is the standard.
It is a great opportunity to work at the intersection of big data and artificial intelligence with a team that values technical excellence.
You will design and deploy scalable data architectures and pipelines to process high‑volume datasets while driving innovation through AI‑driven tools and agents that automate complex workflows. By leading projects from technical design to completion, you will ensure data quality and usability for stakeholders across the organization. You will partner closely with data scientists and business leaders to translate intricate requirements into robust reporting and visualization solutions that link data to business outcomes.
Additionally, you will maintain the integrity and security of our data lake by implementing rigorous validation, threat modeling, and compliance standards. Your work will ultimately optimize the scale, velocity, and reliability of our data deliverables to solve real‑world business problems.
- 7+ years of related experience with a Bachelor’s degree; or 4+ years with a Master’s; or 1+ year with a PhD.
- 3+ years of Experience building and managing data architecture for both structured and unstructured data.
- 5+ Years of Proficiency in developing and scaling data pipelines using cloud services and relational databases.
- 3+ years of Experience leveraging AI, machine learning, or big‑data techniques for data transformation and cleansing.
- 5+ years of Proficiency in scripting languages and writing functional code with associated unit tests. Snowflake, DBT, Teradata, Oracle, Informatica, Shell Scripting
- Experience designing and deploying AI Agents to automate data pipeline maintenance and troubleshooting.
- Knowledge of feature engineering to build innovative models for complex business problems.
- Experience with threat modeling for data features and resolving complex compliance issues.
- Ability to build advanced reporting and visualizations that link data insights to business outcomes.
- Strong collaborative skills to guide others on database sources and resolve security or privacy concerns.
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.
Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $ to $ and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full…
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