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