Senior Data Engineer

DATA ENGINEER (AI-ENABLED PLATFORM)SAN FRANCISCO, CA (HYBRID)$170,000 – $190,000 BASE SALARY + BONUS + BENEFITS(TOTAL COMP ~ $225,000 - $250,000)The Opportunity We’re supporting a top-tier technology investment firm in hiring a Data Engineer to help build the core of a next‑generation, AI‑driven data platform. This role joins a small, high-impact team responsible for turning messy, fragmented data into clean, scalable systems that power investment insights and AI workflows. You’ll be central to building the pipelines, architecture, and infrastructure that enable advanced analytics across the business. Engineering Environment You’ll work in a modern, cloud-native setup focused on AWS + Snowflake, end‑to‑end pipeline development, structured and unstructured data, AI‑assisted engineering, and integrating diverse internal and external datasets — all with high ownership and autonomy.What You’ll DoBuild and maintain scalable pipelines across multiple data sourcesOrganize and structure fragmented datasetsDesign data models and architecture in Snowflake and AWSEnable analytics and AI use cases through clean, reliable data systemsIntegrate third‑party and alternative datasetsSupport lightweight AI/agent workflowsCollaborate with both technical and business stakeholdersWhat We’re Looking For2–4+ years in data or analytics engineeringStrong SQL and PythonExperience running production pipelinesFamiliarity with AWS and SnowflakeSolid data modeling and architecture fundamentalsAbility to work independently and make sound technical decisionsNice to HaveExposure to ML/feature pipelinesExperience with financial or alternative dataStartup or high‑growth backgroundWhy This Role You’ll help build foundational data systems from the ground up, directly influence investment decisions, and work with cutting‑edge AI applications. It’s a high‑ownership role on a small, elite team with strong compensation and a fast‑moving, intellectually demanding environment.