Senior Data Engineer

The RoleRaydar is recruiting for this role on behalf of our client. Take ownership of a core data platform, from initial design through production operation. The work blends pipeline engineering, data modeling and hands-on collaboration with customer technical environments. The position is on-site and offers a route toward managing an engineering team as the company grows.What You'll DoBuild and strengthen data pipelines that handle live production workloads coming from older business systems.Convert bespoke customer setups into a reusable ingestion framework that supports many formats and integrations.Model and store pricing, demand and supplier information so it is dependable and simple to query.Put in place checks, validation and monitoring so the numbers shown to users can be relied upon.Develop the underlying infrastructure for AI agents and LLM-based data intake as they evolve.Study customer systems and datasets closely so each integration reflects how they truly operate.Contribute to product direction alongside the founding team.What We're Looking For3 to 5 years of backend or data engineering work with Python and TypeScript, plus strong SQL.A track record of deep ownership of systems, including running and improving them over at least a year in your latest position.Production experience delivering backend software, such as services or data infrastructure.Hands-on experience with large-scale data pipelines.A degree in a quantitative discipline such as computer science, mathematics, physics or engineering.Comfort working from the office five days a week.Authorization to work in the US, or current OPT or STEM OPT status.Bonus PointsCapacity to describe a system you designed and maintained, including failures and what you would do differently.Experience creating schemas and data models that teams and products depend on.Background integrating with legacy enterprise systems, EDI or.NET.Evidence of rapid growth, such as early promotion, side projects or open source contributions.Regular use of AI coding assistants with considered views on their value.Skill at explaining engineering trade-offs in plain terms to non-technical stakeholders.Notable achievement in a non-engineering pursuit, such as athletics, competitions or the arts.Familiarity with workflow orchestration tools, data infrastructure companies, or hardware, procurement or supply chain domains.BenefitsHealth coveragePaid time offLocation and Work ModelSan Francisco, CA, United StatesOn-site, 5 days per week in officeFull-timeCompensation, As The Posting Describes ItEquity