AI Data Engineer

📋 Description

• Design, build, and own data pipelines from app sources to relational databases.
• Collaborate with analytics engineering to model data and power reporting.
• Own data quality across ingestion, modeling, and reporting.
• Build production AI systems on top of data infra for ML features.
• Design evaluation systems with eval harnesses and production monitoring.
• Set standards for data work and share context to accelerate teammates.

🎯 Requirements

• 5+ years in data engineering with ML in production.
• Built and owned pipelines moving data from apps into a warehouse.
• Strong Python skills; Snowflake and Postgres experience.
• Experience with orchestration tools like Airflow or Dagster.
• Experience with cloud platforms such as GCP or AWS.
• Collaborated with analytics engineers to build reliable data models.

🎁 Benefits

• Competitive compensation with bonus and equity.
• Comprehensive benefits: PTO, holidays, parental leave, 401k match.
• Education stipend and remote work stipend.
• Open and transparent culture with clear communication.