About the job
Peek is revolutionizing the experiences industry, serving a diverse range of sectors from museums to tours and activities. Our AI-driven platform has facilitated over $7 billion in bookings, empowering thousands of merchants to boost their revenues, optimize their time, and create exceptional guest experiences. Our esteemed clientele includes renowned institutions like MoMA, Whitney Museum, Seattle Aquarium, and Bryant Park. With over $150 million raised from prominent investors including Westcap, Goldman Sachs, and SpringCoast Partners, Peek is positioned for accelerated growth. Discover more at www.peek.com.
As a recognized remote-first organization, we are honored to be listed among America's Best Startup Employers by Forbes and as a 2025 and 2026 Best Place to Work by Built In. Our global team of 'Peeksters' is dedicated to being customer-centric, achieving significant goals, collaborating meaningfully, and continuously improving.
The Role
We are in search of a passionate Senior Data Engineer to shape and execute our vision for reliable data across the organization. High-quality data is vital to Peek's success as a rapidly expanding startup. You will play a key role in developing our Data Engineering practice and collaborating with various internal teams including engineering, product, and business functions to address their data requirements.
We value the unique set of skills that each Data Engineer brings. Whether your expertise lies in data modeling, stream processing, integrations, or reporting, we would love to connect with you!
Learn more about Peek’s technology stack here.
Responsibilities
Utilize the full potential of GCP, DBT, Airflow, and an array of data pipeline products to convert diverse data sources into high-performing, resilient, accurate, and interpretable datasets for Business Intelligence and other data products.
Design, develop, and manage data pipelines and models that support internal analytics for product and business teams.
Lead the acquisition of new data and the enhancement of existing data sources, fostering relationships with production engineering teams to manage our data structures as products evolve.
Enhance our data visualization tools and platform to assist the team in creating dynamic reporting tools.
Contribute to the long-term architecture of Peek's AI data serving layer, including feature engineering patterns and online/offline feature consistency.
