Senior Data Engineer Fast-growing software

# Senior Data Engineer Fast-growing software company
* Location San Francisco, California
* Type Full-time
* Posted6 October 2026

Apply for this role

Talk to us first

You apply on Workable, where Raydar manages applications.

The role, as published## 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.## What we're looking for
* ** 3 to 5 years
** of backend or data engineering work with Python and Type Script, 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 Pay $165k to $210kUSD base a year