Sr. Data Engineer, Data Platflorm

Crane Worldwide Logistics is a logistics company seeking a Senior Data Engineer, Data Platform. The role focuses on building and operating reliable data streaming, replication, infrastructure, deployment, and observability platforms while supporting incident response, documentation, and architectural alignment.

Responsibilities:

• Build and maintain streaming and replication pipelines (CDC, Kafka, Materialize) that move data reliably from source systems into the platform
• Manage schemas, topics, and data contracts (Schema Registry, Protobuf/Avro) to keep producers and consumers consistent and governed
• Provision and manage infrastructure as code (Terraform, Kubernetes, Docker) across shared environments
• Configure clusters, access controls, and role-based permissions for shared platform resources
• Own CI/CD pipelines and deployment tooling (GitHub Actions) so teams can ship safely and quickly
• Build monitoring, alerting, and observability (Prometheus, Grafana, PagerDuty) to catch problems before users do
• Participate in on-call rotations, investigate incidents, and drive durable (not band-aid) fixes with clear post-incident follow-through
• Write and maintain runbooks, architecture docs, and platform guides so teams can self-serve
• Participate in design reviews and RFCs to align platform solutions with business and engineering requirements

Requirements:

• Expertise in Kafka, streaming systems, Python (or similar), SQL, and cloud infrastructure (AWS/GCP/Azure)
• Bachelor's degree in computer/software engineering, computer science, Maths or Physics is required
• 10+ years prior experience in a data engineering, platform, or infrastructure-focused backend software engineering role
• Professional certification may be required in some areas