Data Platform Engineer

📋 Description

• Build scalable data platform for batch and streaming use cases.
• Enable low-latency data flow for streaming and model inference.
• Establish data platform ops with CI/CD, monitoring, and observability.
• Build data catalog and lineage; enforce data security.

🎯 Requirements

• 3+ years in Platform Engineering for scalable data platforms.
• Proficient in streaming (Kafka, Flink, PubSub) with low-latency ingestion.
• Docker and Kubernetes containerization with cluster management.
• Experience managing full data lifecycle and data exploration environment.
• Python and Go; cloud services (GCP BigQuery, GKE) or AWS.
• Big data stack: Spark, Flink, Kafka, Airflow, Iceberg.

🎁 Benefits

• Company-subsidized medical, dental, and vision plans.
• 401(k) plan with company match.
• Annual bonus.
• Flexible PTO (2 weeks strongly encouraged).
• 16-week paid parental leave and disability benefits.
• Company equipment provided (Windows and Mac options).