Data Engineer (AI)

Location: On-site at the Palo Alto HQ, with a preference for hybrid in-office work

Company

AI creative tools are being built to make video creation seamless, intuitive, and accessible while expanding creative expression through advanced AI.

What you will do

• Design, develop, and maintain scalable data pipelines and ETL workflows.
• Build, automate, and optimize data infrastructure for analytics, reporting, and machine learning applications.
• Ensure data quality, consistency, security, and accessibility across data sources and sinks.
• Collaborate with engineering, analytics, and product teams to define requirements and deliver reliable datasets.
• Implement monitoring, resolve pipeline issues, and optimize storage and processing performance.
• Contribute to data modeling, schema design, and organization-wide data engineering best practices.

Requirements

• 4+ years of experience designing, building, and maintaining data infrastructure.
• Strong software engineering background with proficiency in Python, SQL, or similar languages.
• Hands-on experience with orchestration tools such as Airflow, Prefect, or Dagster.
• Experience with cloud data platforms including AWS, GCP, Redshift, BigQuery, or Snowflake.
• Knowledge of databases, data modeling, data warehousing, monitoring, logging, and data quality practices.
• Strong analytical, problem-solving, communication, and cross-functional collaboration skills.

Nice to have

• Experience supporting machine learning or AI-powered applications.
• Familiarity with real-time or streaming architectures such as Kafka or Kinesis.
• Experience at high-growth startups, with rapid scaling, open source, hackathons, or data engineering communities.

Culture & Benefits

• Collaborative, high-growth environment involving engineers, artists, and product thinkers.
• Competitive salary and substantial equity.
• Comprehensive health benefits and monthly stipends.
• Company retreats and opportunities to contribute to product and organizational growth.