Job description

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. As a Data Analyst, you will play a pivotal role in leveraging data to drive sales and marketing efforts and to enable our customer success. You’ll be surrounded by a team that is data-smart to begin with and you’ll help elevate the customer and prospect experience by taking it to the next level.

Our business has found incredible product-market fit and continues to grow rapidly. This is a career-defining opportunity for an experienced analyst to accelerate their growth and contribute to a rapidly-scaling company.

Northbeam 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

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
Experience designing and deploying high performance systems with reliable monitoring and logging practices.
Experience with data pipeline orchestration tools and practices.

Good to have

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