Python Data Platform Engineer

Meet   the Team   We’re   a team in Developer Observability, focused on giving engineers the tools and insights they need to ship faster and smarter. Our work supports teams across the organization by improving decision-making and development workflows. We   operate   as a distributed team across the US and Poland.

We are looking for an experienced   Software Engineer   to join our engineering team and help design, build, and   maintain   high-quality, scalable systems and data pipelines. You will play a key role in setting engineering standards   and driving best practices across the team.      What You’ll Get to Do   Contribute to   end-to-end system design   and participate in technical and architectural decisions.   Build, maintain, and optimize   Python-based services, engineering tools, and data pipelines .   Work with data across the full lifecycle, including   data extraction, transformation and delivery .   Develop and   maintain   workflow orchestration using   Apache Airflow   including pipeline testing, monitoring, and reliability.   Work with   Snowflake as a data platform   and   dbt.   Build and maintain   CI/CD pipelines , deployment processes, and environment automation.   Containerize and deploy applications using   Docker and Kubernetes .   Actively adopt and contribute to AI-assisted engineering and testing practices , using AI to improve development workflows, automation, and engineering productivity.   Follow and contribute to engineering standards for   code quality, testing, documentation, and development best practices .   Collaborate with engineers, data teams, and stakeholders to design and deliver   reliable, scalable solutions .                 What You’ll Bring   Bachelor’s degree + 3 years of related experience, or Master’s degree + 2 years of related experience.   Hands-on experience with   Python , including OOP, error handling, REST API integrations, and clean code practices.   Good understanding of   SQL and data engineering fundamentals.   Familiarity with   AI tools and technologies , with an interest in using AI to improve engineering workflows, automate repetitive tasks, and increase developer productivity.   Solid understanding of   Git and modern software development workflows .   Experience building or maintaining   CI/CD pipelines , preferably using GitLab CI.   Good engineering fundamentals, including   system design concepts, technical documentation, and architecture diagrams .   Strong   communication and collaboration skills , including participating in code reviews and working effectively with engineers and stakeholders.

Working knowledge of   AWS services , such as IAM, S3, Glue, Athena, and MWAA/Airflow.   Experience with cloud data platforms such as   Snowflake or Redshift .   Familiarity with observability and monitoring tools such as   Prometheus, Splunk, or OpenTelemetry .   Familiarity with   Docker and Kubernetes .   Experience with   Terraform   for infrastructure as code (IaC).   Experience in   developer productivity engineering , including improving engineering tooling and workflows and supporting the full software development lifecycle (SDLC).   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