Senior Data Engineer

The Role

Raydar 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 Do

• Build 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 For

• 3 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 Points

• Capacity 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.

Benefits

• Health coverage
• Paid time off

Location and Work Model

• San Francisco, CA, United States
• On-site, 5 days per week in office
• Full-time

Compensation, As The Posting Describes It

• Equity