Data Engineer

Sumble is building a knowledge graph from web data with a first focus on data for go-to-market teams. We use sources like job posts and resume data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the primary destination for accessing high-quality web data. Try the product at sumble.com.

Our Team

We are a team of 15, including 10 engineers with experience at companies such as Google, Meta, Stack Overflow, and Kaggle.

What we are looking for:

• Building mission-critical, flexible and scalable data pipelines to move and analyze data at scale, with a focus on reliability, data consistency, and data recovery
• Exploring and defining standards for data access and analytics patterns
• Developing data warehouse and data lake solutions that evolve with the size and scale of the company
• Proficiency in SQL, orchestrators, data modeling

Our Tech Stack:

• Languages & Frameworks: Python, FastAPI, React, Typescript
• Cloud Platform: Google Cloud Platform (GCP)
• Databases: PostgreSQL, AlloyDB
• ML/Data: PyTorch, Huggingface, vLLM, Skypilot, Marimo, Prefect
• Infrastructure: Cloud Run
• Design: Figma, Vercel V0

Challenges We Tackle:

• Transforming noisy datasets into high-quality data products
• Running expensive analytics computations efficiently
• Managing the complexity of a growing number of data sources, machine learning models, and large data operations
• Creating a user experience that allows both powerful high-level aggregations AND allows users to also see the granular underlying source data

• Located within Americas timezones

• Medical, dental, and vision (US)
• 401k (US)
• Target 4 weeks PTO