Data Engineer

Pika is building the data infrastructure that powers its creative AI platform. As a Data Engineer (hybrid in Palo Alto, CA), you will design, build, and scale the pipelines and analytics systems that help keep data accurate, reliable, and easy for teams to use. You will join a collaborative, high-growth culture where contributions directly shape growth and success, along with competitive compensation and substantial equity.

What you’ll work on

• Design, develop, and maintain scalable data pipelines and ETL workflows
• Build, automate, and optimize data infrastructure for analytics, reporting, and machine learning applications
• Maintain data quality, consistency, and security across all data sources and destinations
• Partner with engineering, analytics, and product teams to define data requirements and deliver dependable datasets
• Implement monitoring and proactively resolve data pipeline issues before they impact downstream work
• Optimize storage and data processing performance to support growth and efficiency
• Contribute to data modeling and schema design for analytics and product needs
• Help establish best practices that support a data-driven culture across the organization

What you bring

• 4+ years of experience as a data engineer or in a similar role focused on data infrastructure
• Strong software engineering foundation with proficiency in Python, SQL, and/or similar languages
• Hands-on experience with pipeline orchestration tools such as Airflow, Prefect, or Dagster
• Experience with cloud data platforms including AWS/GCP and systems such as Redshift, BigQuery, or Snowflake
• Knowledge of database systems, data modeling, and data warehousing best practices
• Familiarity with monitoring, logging, and data quality practices for data workflows
• Excellent analytical and problem-solving skills with strong attention to detail
• Great communication skills and ability to work cross-functionally
• Self-motivated, curious, and comfortable in a fast-paced, fast-growth startup environment

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 stipends, and company retreats
• Collaborative, high-growth culture where everyone contributes to growth and success

Nice to have

• Experience supporting data for machine learning or AI-powered applications
• Familiarity with real-time or streaming architectures such as Kafka or Kinesis
• Prior work at high-growth startups or experience with rapid scaling
• Open source, hackathon, or data engineering community experience

Tech stack

Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS/GCP