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Senior Software Engineer, Data Systems (Python) at Northbeam. Location Information: Remote. . About Us. . 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. . 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.. . 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.. . 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.. . 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 both code and data to analyze and solve problems reported through customer-facing channels.. . Write technical documentation for internal and external stakeholders.. . . About You. . Requirements. . . Strong understanding of data processing needs of real-time and batch systems for transactional and analytical processing. . Extensive experience with SQL and Python. . Experience designing and deploying high performance systems with reliable monitoring and logging practices. . Deep knowledge of data pipeline orchestration tools and best practices (e.g., Airflow, dbt).. . 5+ years of experience building and maintaining large-scale software systems. . . Good to have. . . Experience with implementing Python web services in Flask, FastAPI, or similar. . Experience working at small companies and wearing many hats. . Comfort with rapid system diagnosis, debugging, and remediation under pressure. . Prior experience working in marketing, e-commerce, or ad-tech. . Experience working with cloud infrastructure such as Google Cloud Platform or AWS. . Experience or a desire to leverage infrastructure-as-code. . . Values. . 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. . . Benefits. . . Equity package. . Generous base . salary. . Healthcare Benefits (medical, dental, vision). . Travel to meet with the team. . Flexible PTO Policy. . 12 Company Paid Holidays. . .