Staff Software Engineer, Data

3 days ago

San Francisco, California, United States Northbeam LLC Full time

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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