[Hiring] Software Engineer, Data Systems @Northbeam

Role Description

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.

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.
• Working with 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:

• 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.

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

Qualifications

• 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.

Benefits

• Base Salary Range: $140,000 — $155,000 USD.
• Equity package.
• Comprehensive healthcare benefits (medical, dental, and vision).
• 401(k) plan.
• Flexible PTO policy.
• 12 company-paid holidays.
• 12 weeks of paid parental leave.
• $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.