Northbeam
via Greenhouse
Senior Software Engineer, Data Systems (Python)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 98d ago
The date the source published, not the day we noticed it (2026-06-08). Last seen at its source 3h ago.
Is it remote?
Remote - Canada
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Canada
The description states no restriction of its own. This is the source's own tag.
Pay
$170k–200k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 11d ago · last seen 3h ago
The listing
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
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.