Data Engineer

📋 Description

• Design, develop, and maintain scalable data pipelines and ETL workflows
• Build, automate, and optimize data infrastructure for analytics, reporting, and machine learning
• Ensure data quality, consistency, and security across all sources and sinks
• Collaborate with engineering, analytics, and product teams to define data requirements and deliver
• Implement monitoring solutions and proactively resolve data pipeline issues
• Optimize storage and data processing performance for growth and efficiency

🎯 Requirements

• 4+ years of experience as a data engineer or in a similar role designing, building, and maintaining
• Strong software engineering background with proficiency in Python, SQL, and/or similar languages
• Hands-on experience with data pipeline orchestration tools (Airflow, Prefect, Dagster, etc.)
• Experience with cloud data platforms (AWS/GCP, Redshift, BigQuery, Snowflake, etc.)
• Knowledge of database systems, data modeling, and data warehousing best practices
• Familiarity with monitoring, logging, and data quality practices for data workflows

🎁 Benefits

• Competitive salary in the AI industry
• Substantial equity in a fast-growing startup defining the future of AI and creativity
• Comprehensive health benefits, monthly stipend, and company retreats
• Collaborative, high-growth culture—everyone contributes to growth and success