Senior Data Engineer

About the company

Our client is a fast-growing software company.

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.

Requirements

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

Compensation and benefits

- Base salary: USD 165,000 to 210,000 per year

- Equity

- Health coverage

- Paid time off

Location and work model

- San Francisco, CA, United States

- On-site, 5 days per week in office

- Full-time