Staff Software Engineer, Data
1 month ago
About Us
Northbeam is a leading marketing intelligence platform for growth, providing attribution modeling technology and customizable dashboards to e-commerce businesses.
The company's attribution modeling technology and dashboards offer a unified view of e-commerce business data, enabling customers to accurately attribute advertising spend and make data-driven decisions.
As a Data Engineer at Northbeam, you will work with a cross-functional team to translate customer feedback into scalable data pipelines and products.
The role involves creating, maintaining, and improving a complex network of transformations to keep the system running smoothly.
Curiosity, experience, and a desire to build data pipelines and applications at scale are key to success in this role.
About the Role
Key Responsibilities:
- Work with customers, product managers, product engineers, and customer support to scope, build, and iterate high-value solutions.
- Provide technical leadership to 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.
- Work on the data pipeline architecture and optimize it for readability, maintainability, and cost.
- Integrate with machine learning and data science systems to deliver insights to customers.
- Maintain and augment the necessary infrastructure to scale the 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, and 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.
Good to Have:
- Experience in data engineering solutions such as Bigquery, Airflow, dbt, Kafka, and 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.
Values:
- 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.
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