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
Skills Required
- 3 to 5 years of backend or data engineering experience
- Professional experience with Python
- Professional experience with TypeScript
- Strong SQL skills
- Track record of owning and operating systems for at least one year in the latest position
- Production experience delivering backend software, services, or data infrastructure
- Hands-on experience with large-scale data pipelines
- Degree in computer science, mathematics, physics, engineering, or another quantitative discipline
- Ability to work from the office five days per week
- Authorization to work in the United States, or current OPT or STEM OPT status
- Experience creating schemas and data models
- Experience integrating legacy enterprise systems, EDI, or .NET
- Experience with workflow orchestration tools, data infrastructure companies, hardware, procurement, or supply chain domains
- Regular use of AI coding assistants
- Ability to explain engineering trade-offs to non-technical stakeholders
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
