Meet the Team
Join Cisco’s Data & Analytics team, a high-performing group of intelligent, dedicated, and results-driven professionals building a best-in-class enterprise analytics platform. Our mission is to connect data across the value chain to deliver persona-based, actionable insights that empower self-service analytics, enable digital processes, and accelerate Cisco’s transformation to new business models. By combining innovation, technical expertise, and business impact, the team helps drive operational efficiency and data-driven decision-making at scale.
Your Impact
In this role, you will be instrumental in building and maintaining our enterprise data platform. You will design scalable ETL/ELT pipelines and develop analytics-ready data models that empower business stakeholders to make data-driven decisions. This is an exciting opportunity to work at the cutting edge of cloud data warehousing, optimizing Snowflake performance and ensuring high standards of data governance and quality.
Responsibilities
- Design, build, and support scalable ELT/ETL pipelines that ingest, transform, and publish data from enterprise source systems into the Snowflake Data Cloud.
- Develop and maintain curated, analytics-ready data models using dbt with a focus on modular design, reusability, testing, and maintainability.
- Implement and optimize Snowflake-native capabilities, including Snowpipe, Streams, Tasks, and advanced performance tuning for virtual warehouses.
- Enforce data quality, observability, lineage, governance, and access control standards across the entire data platform.
- Partner with data architects, analysts, and business stakeholders to translate complex functional requirements into scalable and reliable data solutions.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
- 5+ years of experience in data engineering, with strong hands-on expertise in cloud data warehousing and modern data platform implementations.
- In-depth experience with Snowflake Data Cloud, including its architecture, security model, and operational best practices.
- Strong hands-on experience with dbt (Data Build Tool) for the design, development, and maintenance of data models and automated testing.
- Advanced expertise in SQL and proficiency in at least one programming or scripting language such as Python, Java, or Scala.
Preferred Qualifications
- Experience with data quality, observability, and lineage tools to support monitoring, validation, and governance across data pipelines.
- Knowledge of Snowflake advanced capabilities such as zero-copy cloning, secure data sharing, external tables, Snowpark, dynamic tables, and masking policies.
- Exposure to BI/reporting tools such as Power BI, Tableau, or Looker and understanding of downstream analytics consumption patterns.
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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience
- 5+ years of experience in data engineering
- In-depth experience with Snowflake Data Cloud (architecture, security model, operational best practices)
- Strong hands-on experience with dbt for designing, developing, and maintaining data models and tests
- Advanced expertise in SQL
- Proficiency in at least one programming or scripting language such as Python, Java, or Scala
- Design, build, and support scalable ELT/ETL pipelines ingesting and transforming data into Snowflake
- Implement and optimize Snowflake-native capabilities (Snowpipe, Streams, Tasks) and virtual warehouse performance tuning
- Experience with data quality, observability, and lineage tools
- Knowledge of Snowflake advanced capabilities (zero-copy cloning, secure data sharing, external tables, Snowpark, dynamic tables, masking policies)
- Exposure to BI/reporting tools such as Power BI, Tableau, or Looker
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
-
Healthcare Strength — Comprehensive medical, dental, and vision coverage, mental health support via an EAP, and access to on-site or virtual health centers indicate robust healthcare offerings. Wellness programs, fitness resources, and specialized services further reinforce coverage depth.
-
Leave & Time Off Breadth — Generous PTO, a global minimum for paid parental leave, and unique programs like company-wide recharge days and paid volunteer time expand time-away options. Additional offerings such as Critical Time Off and adoption assistance add flexibility for life events.
-
Equity Value & Accessibility — Restricted stock units and a discounted employee stock purchase plan are meaningful elements of total compensation. The prominence of equity can materially augment overall pay packages alongside salary and bonuses.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
