Software Engineer, Data Systems (Python)

About the role

About Northbeam

Northbeam is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth. Machine learning has been at the heart of Northbeam since day one: our full suite of measurement, spanning multi-touch attribution, MMM+, and incrementality, is built on it, along with laser-accurate first-party data. Now we're taking that foundation further, using AI to help brands operationalize their data and turn Northbeam insights into automated decisions.

We're experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you'll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We'd love for you to be part of our journey.

We're a remote-friendly company with physical offices in San Francisco and Los Angeles.

About the Role

Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, ads, games, or database technologies. We sell data: quality integrations with a variety of platforms, fresh and reliable data pulls, correct aggregations, and algorithmic insights on top of that data, all packaged up in a user-facing application.

What this means is that out data systems team is foundational and load-bearing. As a data-tilted software engineer at Northbeam, you'll work alongside product managers, product engineers, and business leaders to turn customer needs into reliable data pipelines and products. You'll be supported by engineers who have built these systems before, with room to take on more ownership as you grow into the team.

The work involves building, maintaining, and improving a labyrinth of integrations and transformations across a complex network of touchpoints. The system is powered by data spanning numerous ad platforms, a variety of order management systems (Shopify, Amazon, and others), and our own real-time events collected as customers navigate their online stores.

Curiosity, a bias toward shipping, and a real appetite for building data pipelines at scale are what matter most here.

Your Impact

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

- Build and maintain data pipelines that ingest and transform data from a variety of sources, with an eye toward reliability and maintainability.

- Develop and support APIs that enable secure, tenant-aware data integrations with external systems.

- Work within event-driven and batch processing architectures to keep data fresh and consistent.

- Contribute to API design and integration patterns that support both real-time and batch ingestion across different authentication mechanisms (OAuth, API keys, etc.).