Senior Data Engineer

📋 Description

• Build infrastructure for ingesting, cleaning, transforming, and merging data.
• Design semantic models and ontology layers for data meaning and context.
• Design and operate reliable DAG-based data workflows.
• Build data pipelines and transformation systems from scratch.
• Evaluate databases, storage tech, and orchestration tooling per product needs.
• Make large datasets performant and accessible to AI agents, analytics, and BI.

🎯 Requirements

• 5+ years of professional data engineering or related software engineering.
• Experience building a data platform, data warehouse, or major pipeline from scratch.
• Product company experience or owning an internal product.
• Strong production-level programming, particularly Python or another backend language.
• Hands-on with ETL/ELT frameworks such as dbt, Dagster, or similar.
• Experience deploying and operating DAG-based orchestrators such as Airflow.

🎁 Benefits

• Generous stock options.
• Visa sponsorship and relocation support for qualifying international candidates.
• Foundational role with direct influence over architecture and product direction.
• Opportunity to build a new category of data infrastructure for AI agents.
• Highly collaborative environment with a strong founding team.