---
title: 'Software Engineer, Data Systems (Python) at Northbeam'
canonical: 'https://feeny.ai/job/software-engineer-data-systems-python-northbeam-canada-v4xh2f4cfgw8'
type: 'job'
last_seen: '2026-10-12'
---

# Software Engineer, Data Systems (Python) at Northbeam

- **Company:** Northbeam
- **Location:** Canada
- **Compensation:** $140k–$155k
- **Work type:** remote
- **Posted:** 2026-09-21
- **Last confirmed live:** 2026-10-12
- **Apply:** https://job-boards.greenhouse.io/northbeam/jobs/4715151006

## Job description

## 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.).
- Add monitoring and alerting that surfaces data freshness issues, failures, and performance problems before customers notice them.
- Improve existing data flows and transformations, weighing cost, efficiency, and speed of delivery in a cloud-native environment.
- Partner with data engineering, infrastructure, and product teams to make our integration platform easier to extend and onboard new sources into.

You'll work with great people who have done this many times before. You'll teach them some new tricks, and pick up some old ones.

If this sounds like your kind of chaos, we'd love to hear from you.

## What You Bring

- 3+ years of experience in data engineering, software engineering, or integration engineering, with exposure to ETL, APIs, or data pipeline work.
- Solid working proficiency in Python.
- Experience building against REST APIs; familiarity with GraphQL or webhooks is a plus.
- Comfort with SQL and some exposure to a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar).
- Some exposure to orchestration frameworks such as Airflow, Dagster, or Prefect.
- Willingness to work in a containerized environment (Docker).
- A track record of shipping steadily and asking good questions when the path isn't obvious.

Bonus Skills & Experience

- Experience implementing authentication flows (OAuth 2.0, API keys, secrets management).
- Familiarity with Kubernetes or other production deployment tooling.
- Experience working with ERP systems, CRMs, CDPs, or other enterprise data tools and their APIs.
- Exposure to event-driven architectures and real-time data processing tools.
- Awareness of data governance and compliance considerations (GDPR, SOC 2).
- Experience in a multi-tenant SaaS or data-intensive environment.

Base Salary Range $140,000—$155,000 USD

Actual compensation may vary based on experience, skills, and location.

In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.

Interview Process The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time.

We accept applications on an ongoing basis.

## About Northbeam

## Company Overview
- **One-liner**: Northbeam is a marketing intelligence platform that provides multi-touch attribution, media mix modeling, and analytics to help eCommerce and DTC brands optimize ad spend for profitable growth.
- **Entity Type**: Private (Venture-backed)
- **Headquarters**: San Francisco, California, USA (also offices in San Diego, New York, Austin, and Chicago)
- **Founded**: 2019
- **Founders**: Not publicly listed on the main profile (the founding team is cited on the "About Us" page, but individual names are not widely published; the team is described as the "Northbeam Team").

## Core Business
- **Primary Industry**: Marketing Intelligence / Marketing Analytics / AdTech
- **Target Customers**: B2B – primarily Direct-to-Consumer (DTC) and eCommerce brands, as well as larger enterprises with significant ad spend. Served over 1,000 companies.
- **Mission/Purpose**: To provide transparent, accurate, high-fidelity data so marketers can make the right choices to target and efficiently scale their ad spending. They aim to "help you scale your business profitably."

## Products & Services
- **Northbeam (Core Platform)**: A marketing intelligence suite that unifies business data through powerful attribution modeling and customizable dashboards. It uses first-party data and machine learning to give an independent, accurate view of ad performance.
- **Multi-Touch Attribution**: Tracks customer touchpoints across all channels (including view-through from impressions) using infinite lookback windows. Includes the "Clicks + Deterministic Views" model, claimed as the world's first deterministic view-through attribution model.
- **Media Mix Modeling+ (MMM Plus)**: A modernized version of media mix modeling that allows for flexible forecasting, budget scenario planning, and daily optimization for promos and seasonality, all with high-speed feedback.
- **Northbeam Apex**: An advanced ad platform integration that sends Northbeam performance data directly to ad platform algorithms (e.g., Facebook, Google) to improve ROAS and CAC, going deeper than standard CAPI or third-party enrichment.

## Market Standing
- **Funding & Valuation**: Total funding of **$30.0M** across two rounds.
    - Series A (Aug 2022): **$15.0M** led by Silversmith Capital Partners.
    - Venture Round (Sep 2025): **$15.0M** led by HighPost Capital and Silversmith Capital Partners.
- **Key Metric**: Annual Revenue estimated at **$2.0M** (per LinkedIn data). The company tracks **$130 billion** in ad-attributed revenue for clients and measures over **2.1 trillion** impressions.
- **Notable Investors/Partners**: Silversmith Capital Partners, HighPost Capital.
- **Growth Signals**: Employee headcount grew **+36.9% YoY** (approx. 76 employees). The company operates in 5 countries (US, Brazil, Dominican Republic, Canada, Puerto Rico). Trusted by over 1,000 companies.

## Competitive Advantages
- **Data Accuracy & Fidelity**: Claims industry-leading data fidelity through a combination of first-party data, deterministic view-through modeling, and machine learning. Provides "laser-accurate" data independent of ad platform bias.
- **Unified Measurement Suite**: Offers a rare combination of multi-touch attribution (MTA), media mix modeling (MMM), and incrementality testing all in one platform, giving a holistic view.
- **Advanced Integration (Apex)**: The direct ad platform integration (Apex) is positioned as a "world’s most advanced" connection, allowing for automated performance optimization directly within ad tools.
- **Privacy-First Approach**: Built to operate effectively in the modern, privacy-constrained landscape (e.g., adapting to changing laws, device graph modeling).

## Strategic Focus
- **Product Expansion**: Continually pushing the boundaries of machine learning and statistical analysis for marketing measurement. The recent launch of "MMM Plus" and "Northbeam Apex" indicates a focus on blending high-level strategy (MMM) with real-time execution (MTA/Apex).
- **Enterprise Growth**: Hiring for Enterprise Sales Director roles and focusing on "strategic support" suggests a push into larger, more complex accounts.
- **Customer Education**: Emphasizing "Education" and "Transparency" as core pillars, with content like the "Media Buyer Newsletter" and data review strategy sessions to empower clients.

## Why Work Here
- **Culture**: Described as a data-driven and intellectually rigorous environment. The company values "inclusion, curiosity, and respect." They are proud to be an Equal Opportunity Employer.
- **Work Policy**: Remote-first. Most job postings list "Remote - USA" or "Remote - Canada," with no requirement for in-office presence. The headquarters are in San Francisco, but the team is distributed.
- **Perks & Engineering Culture**: The engineering team works with cutting-edge ML and data pipelines. The team is small but growing fast (76 people), offering significant ownership and impact. Notable hiring from top companies like Shopify, The Trade Desk, and Brex.
- **Team Composition**: Technical roles (engineering, data science) make up the largest department (19%), followed by Marketing (16%) and Customer Success (12%). This is a product-forward company.
- **Compensation & Reviews**: Employee reviews give Compensation a 4.2/5.0, but Culture (3.1) and Work-Life Balance (2.5) score lower, suggesting a high-performance, demanding environment.

## Sources
1. [northbeam.io](https://www.northbeam.io/)
2. [northbeam.io/about](https://www.northbeam.io/about-us)
3. [linkedin.com](https://www.linkedin.com/company/northbeam)
4. [job-boards.greenhouse.io](https://job-boards.greenhouse.io/northbeam)
5. [info.northbeam.io](https://info.northbeam.io/)

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