---
title: 'Senior Software Engineer, Data Systems (Python) at Northbeam'
canonical: 'https://feeny.ai/job/senior-software-engineer-data-systems-python-northbeam-canada-1w8ke19chw03'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Software Engineer, Data Systems (Python) at Northbeam

- **Company:** Northbeam
- **Location:** Canada
- **Compensation:** $170k–$200k
- **Work type:** remote
- **Posted:** 2026-06-08
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/northbeam/jobs/4687847006

## 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 working at Northbeam, you will work with a cross-functional team of product managers, product engineers, and business leaders to translate our customers’ feedback into scalable data pipelines and products.

The work involves creating, maintaining, and improving a labyrinth of integrations and transformations in a complex network of touchpoints to keep everything running smoothly. The system is powered by data that spans numerous ad platforms, a variety of order management systems (such as Shopify and Amazon), as well as our own real-time events that we collect as our customers navigate their online stores.

Curiosity, experience, and a desire to build data pipelines and applications at scale will be the key to success in this role.

## Your Impact

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

- 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 mechanisms (OAuth, API keys, etc.).
- Implement observability, monitoring, and alerting to track data freshness, failures, and performance issues, ensuring transparency and reliability.
- Optimize data flows and transformations, balancing cost, efficiency, and rapid development cycles in a cloud-native environment.
- Collaborate with data engineering, infrastructure, and product teams to create an integration platform that is flexible, extensible, and easy to onboard new sources.

You will work with great people who have done this many times before. You will teach them some new tricks, and maybe learn some old ones.

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

## What You Bring

- 5+ years of experience in data engineering, software engineering, or integration engineering, with a focus on ETL, APIs, and data pipeline orchestration.
- Strong proficiency in Python
- Experience with API-based ETL, handling REST, GraphQL, Webhooks
- Experience implementing authentication flows
- Proficiency in SQL and BigQuery
- Experience with orchestration frameworks (e.g., Airflow) to manage and monitor complex data workflows.
- Familiarity with containerization (Docker, Kubernetes) to deploy and scale workloads.
- Ability to drive rapid development while ensuring maintainability, balancing short-term delivery needs with long-term platform stability.

Bonus Skills & Experience

- Detailed understanding of authentication mechanisms (OAuth 2.0, API keys, secrets management) and secure multi-tenant architectures.
- Experience working with ERP systems, CRMs, CDPs, or complex other enterprise data tools and their APIs.
- Exposure to event-driven architectures and real-time data processing tools
- Knowledge of data governance, compliance (GDPR, SOC2), and security best practices for handling sensitive data.
- Experience working in a multi-tenant SaaS or large-scale data-intensive environment.

#LI-Remote

Base Salary Range $170,000—$200,000 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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