Staff Data Engineer

What You’ll Do:

• Architect and lead the evolution of our modern data platform, driving technical decisions on tooling, infrastructure patterns, and scalability strategies.
• Design and build production LLM pipelines and infrastructure that power intelligent operations.
• Own end-to-end data acquisition and integration architecture across diverse sources.

Required Qualifications, Skills, & Abilities:

• 6+ years of work experience as a data engineer or DevOps engineer with strong proficiency in Python and modern data engineering practices.
• 5+ years experience deploying and managing data processing infrastructure as Code (IaC) in AWS or other cloud environments (GCP, Azure).
• 3+ years experience building and maintaining streaming data pipelines in production (Kafka, Kinesis, Pub/Sub) with data lake/lakehouse architectures (Delta Lake, Iceberg, Hudi).