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Senior Software Engineer, Data


Remote / United States of America
  • Job Type: Full-Time
  • Function: Engineering Software
  • Industry: Data & Analytics
  • Post Date: 05/23/2023
  • Website:
  • Company Address: , San Francisco, CA

About Northbeam

Through the use of first-party data collection and machine learning, Northbeam delivers actionable insights to DTC and ecommerce brands that result in a clear picture of your customers’ buying behavior.

Job Description

You can expect to:

  • Work with product managers, our customer support team, and customers to scope projects and build the right solution
  • Build new API integrations and upgrade existing ones
  • Build features end-to-end yourself from idea to solution, as well as with engineers across the company
  • Work on the data pipeline architecture and optimize it for ease-of-development, as well as cost
  • Integrate with our machine learning and data science systems to deliver insights to our customers
  • Work with our infrastructure to scale the system
  • Write technical documentation for internal and external stakeholders


  • Experience building backend systems with languages such as Python
  • Experience working with data pipelines such as Airflow
  • Experience working with SQL

Good to have:

  • Experience in data engineering technologies like Kafka
  • Experience working in marketing, e-commerce, or ad-tech
  • Experience working with cloud infrastructure such as Google Cloud Platform, Azure, or AWS


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


  • Significant equity package
  • Generous base salary
  • Healthcare Benefits (medical, dental, vision)
  • Travel to meet with the team


Our cash compensation for this role is targeted at $115,000-$200,000. Final offer amounts are determined by multiple factors (experience, expertise, etc) and may vary from the amounts listed above.

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