Software Engineer, Data Systems (Python)

Northbeam; Northern (KY); Hybrid; USD 140,000 - 155,000; Full time

Benefits offered by this job

Equity package

Healthcare benefits

401(k) plan

Flexible PTO

Holidays

Work-from-home stipend

Job summary

Northbeam is seeking a Software Engineer, Data Systems (Python) to build scalable data pipelines and APIs in a remote-friendly environment across the USA. You will join a data-focused team turning customer needs into reliable data products and integrations, working with ETL, REST APIs, and event-driven architectures.

The role emphasizes shipping, collaboration with data engineering and product teams, and ownership of data pipelines across multiple sources.

Qualifications

• 3+ years of experience in data engineering, software engineering, or integration engineering.
• Solid working proficiency in Python.
• Experience building against REST APIs; GraphQL is a plus.

Responsibilities

• Build and maintain data pipelines ingesting data from multiple sources.
• Develop and support APIs for secure, tenant-aware data integrations.
• Work within event-driven and batch processing architectures to keep data fresh.

Skills

Python

REST APIs

GraphQL

SQL

ETL

Tools

Docker

Airflow

Dagster

Prefect

Kubernetes

BigQuery

Snowflake

Redshift

Job description

Software Engineer, Data Systems (Python)

Remote - USA

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 our 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.

Create a Job Alert

Interested in building your career at Northbeam? Get future opportunities sent straight to your email.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Northbeam’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.