Principal Software Engineer, Data Systems at Northbeam

Northbeam logo
Northbeam

Principal Software Engineer, Data Systems

us flag
United States

Hybrid

Full Time

#Engineering

#E Commerce

#Data

#SQL

#Python

#Linux

#Unix

#BigQuery

#Snowflake

#Hadoop

#Spark

#Cloud Infrastructure

#Web Analytics

Northbeam is looking for a Principal Software Engineer, Data Systems

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Are you ready to help us build the most advanced marketing intelligence platform in the world? At Northbeam, we provide e-commerce brands with a unified view of their business data, helping them understand the entire customer journey and make profitable decisions. We are growing rapidly and looking for talented, collaborative individuals to join our team as we scale our systems and continue our mission of technical excellence.

What you bring

We are looking for a Principal Software Engineer to join our team on a full-time basis. This is a senior role focused on building data-intensive systems, and you will be expected to provide architectural direction while executing on a large product surface area. This position is based in the United States and operates in a hybrid work mode, requiring regular in-office days in downtown San Francisco. Your core responsibilities include:

  • Expanding our large-scale number crunching systems that power our core marketing attribution algorithms.
  • Developing sustainable, creative solutions to ingest and process diverse data types from various sources like S3, SFTP, and email.
  • Designing and scaling customer-facing APIs to streamline onboarding and data connectivity for our clients.

Requirements

The ideal candidate is a product-minded engineer with at least 8 years of software development experience. You must be an expert in Python and SQL. We require at least 2 years of experience working specifically within adtech or web analytics systems, as well as 2 years of experience focused on data-intensive analytics products. You should have a strong grasp of Linux and Unix systems, cloud infrastructure primitives, and distributed data processing tools like BigQuery, Snowflake, Hadoop, or Spark. We value candidates who possess a growth mindset, an ownership mentality, and the ability to communicate with both technical and non-technical stakeholders. A degree in Computer Science or Engineering, along with experience in container technologies like Docker or Kubernetes, is highly desirable.

What we offer

We are committed to supporting our team through a flexible work environment. We offer the following benefit:

  • Hybrid work arrangements to balance office collaboration with flexibility.

How to Apply

If you are passionate about engineering high-impact data systems and want to help us shape the future of e-commerce intelligence, we would love to hear from you. Please reach out to our team to submit your application and start a conversation about how you can contribute to our continued growth.

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