Data Engineer

Requirements

• Bachelor's degree with 7+ years of related experience, or a Master's degree with 4+ years, or a PhD with 1+ year.
• Experience building and managing data pipelines from multiple internal and external sources.
• Proficiency in scripting languages and relational database management.
• Experience with cloud services and distributed data structures.
• Experience using big-data techniques to cleanse, organize, and transform data.
• Experience guiding others on database/data lake sources and security requirements.
• Ability to design and create reporting and visualizations that link data insights to business outcomes.
• Knowledge of threat modeling for data features and applications.
• Strong collaborative skills for partnering with data scientists and business stakeholders.
• Ability to identify risks and escalate complex technical issues within a project lifecycle.
• Why Cisco?
• 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 $165,000.00 to $241,400.00 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.
• U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:
• 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
• 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
• Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
• Exempt employees participate in

Benefits

Additional Information

The application window is expected to close on: 07/30/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Our team designs and oversees the deployment of technology architecture to capture and utilize structured and unstructured data from diverse sources. We build the essential structures that channel data through cloud and local databases to meet critical business and technical requirements. By leveraging artificial intelligence and machine learning, we automate the cleansing and organization of big data to ensure its integrity. You will work in a collaborative environment, partnering with data scientists and business leaders to translate complex data into actionable insights. This role is vital to our organization, as we establish the design standards and assurance processes that ensure the compatibility of all data flows.

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