Data Engineer

About the Company

Profound is the marketing platform for the AI era. Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, we provide brands the intelligence to see how AI represents them and the Agents to act on it.

Responsibilities

• Maintain and improve data pipelines to keep data flowing reliably from ingestion to delivery
• Optimize performance and costs across Snowflake, Clickhouse, AWS, dbt, and Dagster
• Own data quality by implementing monitoring, alerting, and validation
• Manage and extend infrastructure, including orchestration and CI or CD for data workflows
• Support MLOps as machine learning models are developed and productionized
• Be on call for critical pipelines and respond quickly to issues
• Collaborate with data scientists, product managers, and engineers to launch new data products

Requirements

• Proven experience designing, building, and maintaining production data pipelines
• Proficiency in Python and SQL
• Hands-on experience with dbt, orchestration frameworks (Dagster, Airflow, or Prefect), and AWS
• Familiarity with Snowflake, Clickhouse, or other modern data warehouses
• Experience with or interest in MLOps and supporting machine learning workflows
• Strong problem-solving skills and a proactive mindset