Python Data Platform Engineer
Core
Design, build, and maintain scalable systems, data pipelines, and engineering tools to support developer observability and faster software delivery.
Role type
Senior Python Data Platform Engineer
Builds
End-to-end data pipelines, workflow orchestration, CI/CD automation, and engineering tooling
Domain
Developer Observability / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python (OOP, REST APIs), SQL, Apache Airflow, Snowflake, dbt, Git, CI/CD, Docker, Kubernetes, System Design
Preferred skills
AWS services (IAM, S3, Glue, Athena, MWAA), Terraform, Prometheus, Splunk, OpenTelemetry, Redshift
Technologies
Python, Apache Airflow, Snowflake, dbt, GitLab CI, Docker, Kubernetes, AWS, Terraform, Prometheus, Splunk, OpenTelemetry
Responsibilities
Contribute to end-to-end system design and architectural decisions; Build and optimize Python-based services and data pipelines; Develop and maintain workflow orchestration with Apache Airflow; Build and maintain CI/CD pipelines and environment automation; Containerize and deploy applications using Docker and Kubernetes; Collaborate with engineers and data teams to deliver reliable solutions
Seniority
Senior, hands-on IC
