Data Engineer I
Cisco
Job Overview
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Job Description
About the Role: Data Engineer I at Cisco
Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
Applications accepted until further notice.
Meet the Team
Our dedicated team members are engineering the foundation of Cisco’s core technologies across the globe, including teams in Engineering like Infrastructure & Security. At Cisco you will join a collaborative group of builders, innovators, and change agents. Our team brings together expertise in: CRM architecture, Data governance, Sales and partner compensation and AI and automation
We believe the best ideas come from diverse voices and bold thinking. You’ll have the support and resources to learn, grow, and make a meaningful impact.
Your Impact
As a Data Engineer I at Cisco, You Will:
- Build and support integrated data solutions that power business analytics and machine learning
- Ensure data is high-quality, accessible, and easy to use
- Enable smarter decisions, optimize marketing investments, and enhance customer experiences
- Make complex data understandable and actionable
- Collaborate across teams to deliver meaningful solutions for a global community
Minimum Qualifications
- Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or relevant degree program (e.g., Associate’s, Apprenticeship, Boot Camp, or Certification in a specialized program + 1 year of relevant experience, High School Diploma + 2 years of relevant experience) or Bachelor’s + 0 years of relevant experience. Relevant fields include: Engineering, Computer Science, Data Science, Statistics, a related program
- AI literacy and a cloud-first mindset
- Familiarity with agile methodologies and data-driven approaches
- Experience or familiarity with databases (e.g., MySQL, PostgreSQL, MongoDB) and big data frameworks (e.g., Hadoop, Spark)
- Able to legally live and work in the United States without visa support or sponsorship
Preferred Qualifications
- Experience with RESTful API design and development for data integration
- Experience with business intelligence tools such as Tableau
- Understanding of security best practices in data encryption, secure data transfer, and access controls
- Knowledge of full-stack development for comprehensive data solutions
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.
Key skills/competency
- Data Engineering
- Data Integration
- Business Analytics
- Machine Learning
- Data Quality
- Data Governance
- AI and Automation
- Cloud Computing
- Big Data Frameworks
- SQL Databases
How to Get Hired at Cisco
- Research Cisco's vision: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight database, big data, and cloud-first skills relevant to Cisco's data engineering needs.
- Showcase agile experience: Emphasize familiarity with agile methodologies and data-driven approaches for data projects.
- Prepare for technical questions: Focus on SQL, Python, data modeling, and distributed systems for data integration challenges.
- Demonstrate collaborative spirit: Share examples of successful cross-functional projects and problem-solving scenarios.
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