Job at a glance
The application window is expected to close on: 09/24/2026 Meet the Team We are seeking a highly skilled and analytical Data Engineer to join our core data platform team. In this role, you will play a pivotal role in designing, building, and maintaining the scalable data platforms that power our business intelligence and analytical initiatives. You will work closely with data scientists, analysts, and product managers to ensure the reliability, quality, and accessibility of our data assets.
If you are a self-starter who thrives in complex environments and is passionate about building robust data infrastructure that supports data-driven decision-making across the organization, we would love to have you join us. Your Impact As a Data Engineer, you will manage the administration, security, governance, and operational health of enterprise data platforms. You will ensure platform reliability, performance, scalability, and compliance through monitoring, access management, incident response, upgrades, and lifecycle management.
You will also drive platform optimization, automation, migration initiatives, and operational best practices while collaborating with stakeholders to support business needs and continuous improvement. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related quantitative field. Minimum of 5 years of professional experience in data engineering, data warehousing, or a closely related technical role.
Advanced proficiency in Python, with a proven track record of building complex data processing applications and automation scripts. Expert-level experience with DBT, including the ability to architect modular, testable, and documented transformation logic. Deep expertise in SQL and extensive experience working with modern cloud data warehouses (e.g., Snowflake, BigQuery, or Redshift). Preferred Qualifications Strong understanding of data modeling concepts, including dimensional modeling, star schemas, and data vault methodologies.
Experience with orchestration tools (e.g., Airflow, Prefect, or Dagster) to manage complex dependency graphs. Solid understanding of CI/CD pipelines, Git version control, and infrastructure-as-code principles. Familiarity with modern DataOps practices, including data observability tools (e.g., Monte Carlo, Great Expectations) and FinOps principles for cloud cost optimization. Exposure to or interest in preparing data infrastructure for AI/GenAI applications and working with vector databases.
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.
Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $167,700.00 to $245,200.00 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. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training.
The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about