Alpaca
Data Platform Engineer
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Remote - Americas
- 4+ yrs exp
- Added 4 weeks ago
About this role
Alpaca is seeking a Data Platform Engineer to build and maintain their core data infrastructure, supporting financial data and powering critical decisions. You'll be instrumental in scaling their platform, ensuring reliability, and collaborating with various teams to deliver robust data solutions. This is a fully remote role within a rapidly growing, globally distributed organization.
What you'll do
- Design, develop, and improve Alpaca’s data platform components (query engines, lakehouse, etc.).
- Manage lakehouse infrastructure using Terraform and Ansible on Kubernetes.
- Build and operate scalable streaming and CDC pipelines using technologies like Kafka and Iceberg.
- Develop serving and BI infrastructure for data access.
- Own platform reliability through observability and incident response.
- Partner with cross-functional teams to identify and address infrastructure needs.
What they're looking for
- Distributed Systems
- Kubernetes
- Terraform
- Apache Iceberg
- Kafka
- Python
- SQL
- Airflow
Benefits
- Competitive Salary
- Stock Options
- Health Benefits
- Home-Office Setup Stipend ($500)
- Monthly Stipend ($150)
- Remote Work
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Alpaca
Likely interview questions
- Describe a complex production system you’ve owned and the challenges you faced.
- How do you approach designing for scalability and reliability in a data platform?