Senior Data Engineer

Peek is the operating system powering the experiences industry - from museums and attractions to tours and activities. With over $7B in bookings, Peek’s AI-powered platform has helped thousands of merchants to increase revenues, save time, and deliver seamless guest experiences. Customers include MoMA, Whitney Museum, Seattle Aquarium, Bryant Park & Looping Group. The company has raised over $150 million from institutional investors Westcap, Goldman Sachs, and SpringCoast Partners. Learn more at www.peek.com http://www.peek.com. As a remote-first company recognized by Forbes as one of America's Best Startup Employers and by Built In as a 2025 and 2026 Best Place to Work, we are a global team of "Peeksters" who "Obsess Over Our Customers," "Accomplish Big Things," "Collaborate With Purpose," and "Get Better Every Day. THE ROLE We are seeking a driven Senior Data Engineer to help us define and realize our vision for trustworthy data across the company. High-quality data is fundamental to Peek's success as a rapidly growing startup. You will be part of building our Data Engineering practice and working with a variety of internal teams across engineering, product, and business functions to help them solve their data needs. We recognize that each Data Engineer has a unique blend of skills. Whether your strength is in data modeling, stream processing, integrations, or reporting … we want to talk to you! You can learn more about Peek’s tech stack here https://stackshare.io/peek/peek-stack. RESPONSIBILITIES - Leverage the full capabilities of GCP, DBT, Airflow, and the market of data pipeline products to transform varied and disparate data sources into performant, resilient, accurate, and understandable datasets, to provide them to Business Intelligence and onward data products. - Design, develop, and own data pipelines and models that power internal analytics for product and business teams. - Drive the collection of new data and the refinement of existing data sources, and develop relationships with production engineering teams to manage our data structures as products evolve. - Improve our data visualization tooling and platform to help the team create dynamic tools and reporting. - Contribute to the long-term design of Peek's AI data serving layer — including feature engineering patterns, online/offline feature consistency, and foundational feature store architecture. - Strong interpersonal communication skills. Collaborate to solve problems. We value team success over individual achievement. We love working with people who can ask hard questions, offer unusual solutions, and are willing to compromise when solving challenging problems on a deadline. - Well organized and self-motivated. Be able to adapt to this fast-paced environment, where teams are growing, and priorities shift on a quarterly basis as we move into new markets. - Advocate for self-care while managing a high workload. We want you to show up as your best self, and to speak up for what you need to stay healthy and engaged. SKILLS YOU ALREADY HAVE - 4+ years of experience in a data engineering role, with a focus on building data pipelines and modeling. - 2+ years of direct experience with DBT and/or BigQuery. - Proficiency with relational databases (Postgres) and SQL. - Proficiency with data warehouses (BigQuery). - Experience with Python. - Experience with ETL tools and techniques (Airbyte, DBT, Airflow, Pulumi, etc.). - Familiarity with modern AI data infrastructure concepts — including embedding pipelines, vector search, and retrieval-augmented generation (RAG) patterns. - Experience with reporting tools is a nice-to-have (Looker) - Experience with B2C analytic data is desired but not required. - English is our business language, and fluency is required. - Comfortable working remotely. We are 100% remote, and rely on Slack, email, Signal, and Zoom to stay connected. Interview Process: 1. Recruiter Interview 2. Hiring Manager Interview 3. Case Study/Code Challenge an