Junior Python Data Platform Engineer - splunk

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.

Your Impact

We are looking for an 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

• Design, build, and maintain Python applications, services, engineering tools, and data pipelines.

• Write clean, maintainable, and well-tested Python code, following software engineering best practices.

• Work with APIs, data processing, automation, and integrations to solve real engineering problems.

• Debug and troubleshoot issues, improve existing code, and participate in code reviews and technical discussions.

• Work with technologies such as Airflow, Snowflake, dbt, AWS, CI/CD, and containerized environments (with opportunities to learn them on the job)

• Use AI-assisted development and testing tools to improve coding, debugging, automation, and engineering productivity.

What You’ll Bring

• 2+ years of hands-on software development experience, with Python as one of your primary programming languages.

• Good knowledge of Python fundamentals, including data structures, functions, modules, classes, OOP, exceptions, and package management.

• Ability to write readable, maintainable, and reusable code, rather than only scripts that solve a single problem.

• Experience working with REST APIs, JSON, and external integrations.

• Understanding of testing and debugging, with experience writing automated tests.

• Good understanding of Git and modern software development workflows.

• Good understanding of SQL and databases.

• Strong problem-solving skills and the ability to break larger problems into smaller, manageable pieces.

• A strong learning mindset and willingness to work with technologies you may not have used before.

• Ability to ask questions, seek feedback, learn from code reviews, and apply that feedback to future work.

Nice to Have

• Experience building dashboards or data visualizations using tools such as Splunk, Grafana, Tableau, or similar.

• Experience with Airflow, Snowflake, dbt, or other data engineering technologies.

• Experience with AWS or another cloud platform.

• Experience building or maintaining CI/CD pipelines.

• Familiarity with Docker and Kubernetes.

• Familiarity with Terraform or infrastructure as code.

• Familiarity with observability tools such as Splunk, Prometheus.

• 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 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.