Senior Data Engineer

MoonTech is an AI-first, agentic workflow company transforming influencer performance marketing through autonomous AI agents. Our platform automates the entire campaign lifecycle, enabling brands to launch, manage, optimize, and scale creator campaigns with guaranteed conversions and measurable ROI. Powered by proprietary ground truth data, MoonTech is pioneering the category of conversion intelligence for the creator economy. This is not a role for someone who wants to maintain a finished warehouse and keep existing pipelines running. It is a role for a strong Data Engineer who wants to build the data foundation of an AI-native company from the ground up, where AI agents, product teams, analysts, and commercial teams all depend on the same trusted data layer. You will own the pipelines, warehouse architecture, and core data models behind creator matching, campaign performance, transaction attribution, payouts, and AI-driven decision-making. We are actively modernizing our data infrastructure across GCP and AWS. You will have significant ownership over how that architecture evolves and how our data becomes reliable, observable, and ready for agentic workflows. Requirements 5+ years of experience building and operating production data pipelines, ideally in a marketplace, e-commerce, affiliate, ad-tech, martech, or high-growth technology company. Advanced SQL skills and strong hands-on Python experience for building production data pipelines and transformations. Strong experience with dbt in production and modern cloud data warehouses. Our primary warehouse is BigQuery . Build and own reliable ingestion, transformation, and enrichment pipelines across high-volume campaign, creator, transaction, product, and commercial data. Design the core data models consumed by AI agents, product systems, analytics, BI, and machine-learning workflows. Build enrichment and embedding pipelines that power creator-brand matching, scoring, recommendation, and retrieval workflows. Solve c