Summary
Crane Worldwide Logistics is a logistics company seeking a Data Engineer I, Data Products to build and maintain reliable data streaming, replication, and platform infrastructure. The role focuses on schema governance, infrastructure provisioning, CI/CD, observability, incident response, documentation, and collaboration on platform design.
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
- Expertise in Kafka, streaming systems, Python (or similar), SQL, and cloud infrastructure (AWS/GCP/Azure)
Skills
- 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
- 1-3+ years prior experience in a data engineering, platform, or infrastructure-focused backend software engineering role
Qualifications
Must Haves
- 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
- 1-3+ years prior experience in a data engineering, platform, or infrastructure-focused backend software engineering role
Benefits
- Quarterly Incentive Plan
- 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
- Excellent Medical, Dental and Vision benefits
- Tuition Reimbursement for education related to your job
- Employee Referral Bonuses
- Employee Recognition and Rewards Program
- Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
- Employee Discounts
- Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates