Pika is hiring a Data Engineer in Palo Alto, CA (hybrid) to design and scale the data infrastructure behind its creative AI platform.

Design, develop, and maintain scalable data pipelines and ETL workflows
Build, automate, and optimize data infrastructure for analytics, reporting, and machine learning use cases
Maintain data quality, consistency, and security across data sources and destinations
Collaborate with engineering, analytics, and product teams to define data requirements and deliver reliable datasets
Implement monitoring and proactively resolve issues in data pipelines
Optimize storage and data processing performance to support growth and efficiency
Support data modeling and schema design for analytics and product needs
Help establish best practices and enable a more data-driven culture across the organization

4+ years of experience as a data engineer (or similar) designing, building, and maintaining data infrastructure
Strong software engineering background with proficiency in Python, SQL, and/or similar languages
Hands-on experience with data pipeline orchestration tools such as Airflow, Prefect, or Dagster
Experience with cloud data platforms including AWS and/or GCP, plus 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 close attention to detail
Strong communication skills and comfort working cross-functionally
Self-motivated and curious, comfortable working in a fast-paced, high-growth startup

Competitive salary in the AI industry
Substantial equity in a fast-growing startup focused on the future of AI and creativity
Comprehensive health benefits, monthly stipends, and company retreats
Collaborative, high-growth culture with company-wide contribution to growth and success

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

Data Engineer

Job Description