Data Platform Software Engineer (Python), Data Platform - 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 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.

Nice to Have

• 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 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.