Data Engineer to design, build, and maintain data pipelines, ETL workflows, and analytics infrastructure for Pika's AI video creation platform. Works with engineering, analytics, and product teams on data quality, modeling, and monitoring. Stack: Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS/GCP.
About Pika
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.
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.
You will combine software engineering know-how with data architecture expertise, helping us build robust, scalable, and high-performance systems. Your contributions will directly support the success of millions of creators and help shape the future of AI-powered media tools.
What You’ll Do
What We’re Looking For
Nice to Have
Our Stack
Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS/GCP
What We Offer