Staff Software Engineer, Data Systems (Python)

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

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!

Job Description: Data Engineer

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.

About the 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.

About You

Requirements:

• Solid understanding of data processing needs of real-time and batch systems for transactional and analytical processing
• Experience with SQL / Java / Scala / Spark / Python