Senior Data Engineer, Network Platform

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Establish the technical vision for dependable and scalable batch and streaming data pipelines and products.

• Collaborate across both structured and unstructured data environments.

• Define and continuously enhance standards for data quality, timeliness, accessibility, observability, recovery, and cost-effectiveness.

• Lead investigations into production incidents and implement durable solutions.

• Develop and advance a reliable, machine-readable data context layer.

• Address business definitions, metric semantics, ownership, lineage, quality/freshness, and regulated access.

• Integrate the data context layer with existing catalog and governance frameworks.

• Leverage AI and autonomous workflows for pipeline development, validation, and bug resolution.

• Assess the outcomes of AI and autonomous workflows, utilizing bounded permissions with human oversight for actions that significantly impact production.

• Provide a dependable data foundation that is scalable, observable, recoverable, minimizes definition drift, and supports accurate data usage by teams and AI applications.

• Collaborate with teams in Engineering, Product, Security, UX, Finance, Licensing, and others.

⛳️ Requirements

• Bachelor’s degree with 7 years of relevant experience, or a Master’s degree with 3 years of relevant experience, or a PhD with 1 year of relevant experience.

• Over 5 years of advanced SQL experience, encompassing data modeling, complex transformations, and query performance optimization.

• More than 5 years of experience in Python for creating production data pipelines/services, including automated testing and maintainable coding practices.

• At least 3 years of experience with Snowflake in building, optimizing, and managing production data workloads.

• Familiarity with distributed processing and orchestration tools, such as Spark and Airflow/Glue or similar technologies.

• Knowledge of engineering practices related to CI/CD, access controls, data quality, observability, incident response, or cost management.

• Preferred: experience in constructing trusted data context layers that are integrated with catalog/governance systems.

• Preferred: experience in applying AI tools/agents to focused data engineering tasks.

• Preferred: capability to influence architectural decisions across teams, communicate trade-offs, mentor engineers, and enhance technical skill sets.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) plan with matching contributions from Cisco.

• Paid parental leave.

• Short-term and long-term disability coverage.

• Basic life insurance.

• Potential availability of Cisco restricted stock unit grants.

• 10 paid holidays each full calendar year.

• 1 floating holiday for non-exempt employees.

• 1 paid day off for birthdays.

• Paid holiday shutdown at year-end.

• 4 paid personal wellness days.

• 16 days of paid vacation for non-exempt employees.

• Flexible vacation time-off program for exempt employees.

• 80 hours of sick time off granted upon hire and each January 1st.

• Up to 80 hours of unused sick time can be carried over.

• Additional paid time off for critical or emergency family matters.

• Optional 10 paid volunteer days per full calendar year.

• Annual bonuses for non-sales positions, subject to Cisco’s policies.

• Opportunities for personal and professional growth.

• Access to a global network of experts and collaborative teamwork.