Senior 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!

About Us

Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, or ads, or 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 the data eng team is foundational and load-bearing.

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.
• Design, build and optimize data ingestion and transformation pathways spanning APIs, file processing, and configurable inputs.
• Maintain and enhance the data/infrastructure engineering aspects end-to-end ensuring high performance, scalability and reliability.
• 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 enhance the necessary infrastructure to scale our platform.
• Participate in engineering on-call rotations, addressing production issues and diving into problems.

Requirements

• (No specific requirements listed in the provided text)

Responsibilities

• Translate customer feedback into scalable data pipelines and products.
• Create, maintain, and improve data integrations and transformations.
• Ensure high performance, scalability, and reliability of the data system.
• Optimize the data pipeline architecture.
• Integrate data with machine learning and data science systems.
• Maintain and enhance the data infrastructure.

Application Instructions

• (No application instructions provided in the text)