AI creative tools. Built for Creatives. Backed by Lightspeed and AI Grant.
About the role
We are seeking a Data Engineer to design, build, and scale the data infrastructure powering Pika’s creative AI platform. As a Data Engineer, you will play a key role in architecting, implementing, and maintaining our data pipelines and analytics systems, enabling our team to make data-driven decisions and deliver world-class AI experiences. You will work closely with product, engineering, and data teams to ensure data is accurate, reliable, and accessible for users and internal business needs.
What they're looking for
- 4+ years of experience as a data engineer or in a similar role 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 (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
More about this role
At Pika, we’re building the next generation of AI creative tools to empower human creativity. Our mission is to make video creation seamless, intuitive, and accessible to everyone, leveraging the power of advanced AI. We believe that AI should amplify creative expression—enabling everyone to create, collaborate, and communicate across media. Our team includes engineers, artists, and product thinkers, all passionate about building tools that unlock new creative possibilities.
Pika has raised significant funding and is backed by leading investors, with a collaborative culture based in Palo Alto, CA. We prefer hybrid in-office, sharing ideas and launching products together.
We are seeking a Data Engineer to design, build, and scale the data infrastructure powering Pika’s creative AI platform. As a Data Engineer, you will play a key role in architecting, implementing, and maintaining our data pipelines and analytics systems, enabling our team to make data-driven decisions and deliver world-class AI experiences. You will work closely with product, engineering, and data teams to ensure data is accurate, reliable, and accessible for users and internal business needs.
You will combine...
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