Staff Software Engineer, Data Systems (Python)

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.

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 offices in San Francisco and Los Angeles.

Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, or ads, or games. We sell data: quality integrations with a variety of platforms, fresh and reliable data pulls, robust data ingest APIs, correct aggregations and algorithmic insights on top of that data, all packaged up in a user-facing application.

What this means for you is that high-quality, robust data integration is at the core of what we do, and your work will have a direct connection to the company’s success.

As a Data 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.

• Work with our customers, product managers, product engineers, and customer support, to scope, build, and iterate high value solutions.
• Provide technical leadership to various software engineers and drive the long term technical strategy with scalable architecture and best practices.
• Build and maintain data ingestion pathways spanning APIs, file processing, and configurable inputs.
• Own and Implement the data/infrastructure engineering aspects end-to-end from idea to solution as part of a cross functional effort with your peers.
• Work on the data pipeline architecture and optimize it for readability, maintainability, as well as cost.
• Integrate with our machine learning and data science systems to deliver insights to our customers.
• Maintain and augment the necessary infrastructure to scale our platform.
• Write technical documentation for internal and external stakeholders.

• Solid understanding of data processing needs of real-time and batch systems for transactional and analytical processing
• Experience with SQL / Java / Scala / Spark / Python
• Experience designing and deploying high performance systems with reliable monitoring and logging practices
• Experience with data pipeline orchestration tools and practices
• 8+ plus years of experience

• Experience in data engineering solutions such as Bigquery, Airflow, dbt, Kafka, Pinot
• Prior experience working in marketing, e-commerce, or ad-tech
• Experience working with cloud infrastructure such as Google Cloud Platform, Azure, or AWS
• Experience or a desire to leverage infrastructure-as-code

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.