Senior Software Engineer, Data Integration Platform (Python)

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Northbeam is building the world’s most advanced marketing intelligence platform for growth. Our attribution modeling technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably. Northbeam’s team and customer base are growing quickly, and it’s essential that we invest in the right people & systems to scale our business. Our business has found incredible product-market fit and continues to grow rapidly. This is a career-defining opportunity for an experienced engineer to accelerate their growth and contribute to a rapidly-scaling company. The Northbeam team is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us!

About Us

Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, or ads, or games. We sell data: quality integrations with a variety of platforms, fresh and reliable data pulls, robust data ingest APIs, correct aggregations and algorithmic insights on top of that data, all packaged up in a user-facing application. What this means for you is that high quality, robust data integration is at the core of what we do, and your work will have a direct connection to the company’s success.

About the Role

This is a startup. The one thing that’s constant is change. To start with, you can expect to:

Responsibilities

• Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources, ensuring reliability, observability, and maintainability.
• Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems.
• Work with event-driven and batch processing architectures, ensuring data freshness and consistency at scale.
• Drive clean API design and integration patterns that support both real-time and batch ingestion while handling diverse authentication.

Requirements

• Experience in data integration
• Experience with API-based ETL pipelines
• Experience with cloud-native architecture

Additional Notes

• Curiosity
• Willingness to do the hard thing
• Attention to developer ergonomics
• Enjoyment of a startup pace of development