Data Engineer Opportunity At PikaAt 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 RoleWe 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 DoDesign, develop, and maintain scalable data pipelines and ETL workflowsBuild, automate, and optimize our data infrastructure for analytics, reporting, and machine learning applicationsEnsure data quality, consistency, and security across all sources and sinksCollaborate with engineering, analytics, and product teams to define data requirements and deliver reliable datasetsImplement monitoring solutions and proactively resolve data pipeline issuesOptimize storage and data processing performance for growth and efficiencyContribute to data modeling efforts and schema design for analytics and product needsHelp establish best practices and empower a data-driven culture across the organizationWhat We're Looking For4+ years of experience as a data engineer or in a similar role designing, building, and maintaining data infrastructureStrong software engineering background with proficiency in Python, SQL, and/or similar languagesHands-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 practicesFamiliarity with monitoring, logging, and data quality practices for data workflowsExcellent analytical and problem-solving skills with attention to detailGreat communication skills and ability to work cross-functionally in a collaborative environmentSelf-motivated, curious, and comfortable in a fast-paced, high-growth startupNice to HaveExperience supporting data for machine learning or AI-powered applicationsFamiliarity with real-time or streaming data architectures (Kafka, Kinesis, etc.)Prior work at high-growth startups or experience with rapid scalingOpen source, hackathon, or data engineering community experienceOur StackPython, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS/GCPWhat We OfferCompetitive salary in the AI industrySubstantial equity in a fast-growing startup defining the future of AI and creativityComprehensive health benefits, monthly stipends, and company retreatsCollaborative, high-growth culture—everyone contributes to growth and success
Data Engineer in palo alto at Unknown Company
This position is listed as full time and hybrid.