Staff Software Engineer, Data Systems (Python)

Northbeam is building the world’s most advanced marketing intelligence platform for growth. Our attribution modeling technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably.

Northbeam’s team and customer base are growing quickly, and it’s essential that we invest in the right people & systems to scale our business. Our business has found incredible product-market fit and continues to grow rapidly. This is a career-defining opportunity for an experienced engineer to accelerate their growth and contribute to a rapidly-scaling company.

The Northbeam team is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us!

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 customer’s feedback into scalable data pipelines and products.

Marketing attribution for the direct-to-consumer (DTC) space involves creating, maintaining and improving a labyrinth of 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 customer’s 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.

You can expect to:

• 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
• Six to eight 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

These are the values we share as the Northbeam community:

• Growth mindset - we’re always learning and growing
• Customer focus - we want to make the customer happy with our product
• Ownership mentality - we think like owners in the business
• Radical candor - we’re transparent and give direct feedback to one another

• Equity package
• Generous base salary
• Healthcare Benefits (medical, dental, vision)
• Travel to meet with the team
• Flexible PTO Policy
• 12 Company Paid Holidays