G10 2016138 - Data Engineer
Meet the Team
The Enterprise Data Foundation & Engineering team is responsible for building and managing the core data platforms, pipelines, and foundational data assets that enable enterprise reporting, analytics, data science, and operational decision-making across the organization.
Your Impact
As a Data Engineer, you will play a key role in designing and delivering scalable, high-quality data solutions that transform complex business data into trusted, accessible, and actionable information.
In this role, you will
- Design, develop, and optimize enterprise-scale data pipelines and data integration solutions.
- Build and maintain cloud-native data products, data warehouses, and curated datasets.
- Lead the implementation of data engineering standards, reusable frameworks, and automation capabilities.
- Develop scalable ELT/ETL solutions that support both batch and near real-time data processing.
- Partner with business and technology teams to translate data requirements into technical solutions.
- Implement data quality, monitoring, observability, and governance controls to ensure trusted data assets.
- Support enterprise initiatives involving data platform modernization, cloud migration, and advanced analytics.
This role offers the opportunity to influence the future of the enterprise data landscape by building foundational capabilities that support strategic business decisions across the organization.
You will work with modern cloud technologies, large-scale data platforms, and diverse business domains while helping shape engineering standards and best practices. The position provides significant exposure to enterprise architecture, cloud transformation initiatives, and emerging data technologies, making it an ideal opportunity for an experienced engineer seeking both technical depth and broad organizational impact.
Minimum Qualifications
- Bachelor’s degree in computer science, Information Systems, Engineering, Mathematics, or a related technical field.
- Seven (7) or more years of professional experience designing, developing, implementing, and supporting production data integration, ETL/ELT, and data engineering solutions.
- Eight (8) or more years of hands-on experience developing and optimizing complex SQL queries, stored procedures, and data transformations in enterprise-scale relational or cloud data warehouse environments.
- Two (7) or more years of experience designing and implementing data solutions on on-prem data platform such as Oracle and/or Teradata.
- Two (2) or more years of experience designing and implementing data solutions on a cloud data platform such as Snowflake or Google BigQuery.
- Three (5) or more years of experience developing, deploying, and maintaining automated data pipelines using enterprise orchestration or integration technologies such as Control-M, Informatica, DBT, or equivalent tools.
Preferred Qualifications
- Three (3) or more years of experience designing and implementing dimensional data models, including star and snowflake schemas, for enterprise reporting and analytics.
- Two (2) or more years of experience using Python, or Java for data engineering and data processing solutions.
- Experience implementing CI/CD processes and source control practices using Git and enterprise DevOps platforms.
- Experience supporting enterprise data governance, metadata management, data lineage, and data quality frameworks.
- Experience working with ERP, Sales, Finance, Customer, or Supply Chain data domains.
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. Simply put – we power the future.
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.
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.
Skills Required
- Bachelor's degree in computer science, Information Systems, Engineering, Mathematics, or a related technical field.
- Seven (7) or more years of professional experience designing, developing, implementing, and supporting production data integration, ETL/ELT, and data engineering solutions.
- Eight (8) or more years of hands-on experience developing and optimizing complex SQL queries, stored procedures, and data transformations in enterprise-scale relational or cloud data warehouse environments.
- Two (7) or more years of experience designing and implementing data solutions on on-prem data platform such as Oracle and/or Teradata.
- Two (2) or more years of experience designing and implementing data solutions on a cloud data platform such as Snowflake or Google BigQuery.
- Three (5) or more years of experience developing, deploying, and maintaining automated data pipelines using enterprise orchestration or integration technologies such as Control-M, Informatica, DBT, or equivalent tools.
- Three (3) or more years of experience designing and implementing dimensional data models, including star and snowflake schemas, for enterprise reporting and analytics.
- Two (2) or more years of experience using Python, or Java for data engineering and data processing solutions.
- Experience implementing CI/CD processes and source control practices using Git and enterprise DevOps platforms.
- Experience supporting enterprise data governance, metadata management, data lineage, and data quality frameworks.
- Experience working with ERP, Sales, Finance, Customer, or Supply Chain data domains.
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.
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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.
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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.
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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.
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