Senior Software Engineer, Data Systems

San Francisco, Bay Area, United States

Northbeam

Multi-touch attribution and media mix modeling for profitable growth, powered by industry-leading machine learning models. Discover how Northbeam can transform your marketing.

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

The Northbeam team 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

Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, or ads, or games, or database technologies. We sell data: quality integrations with a variety of platforms, fresh and reliable data pulls, correct aggregations and algorithmic insights on top of that data, all packaged up in a user-facing application.

What this means is that the data eng team is foundational and load-bearing.

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.

The work involves creating, maintaining and improving a labyrinth of integrations and 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 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.
  • Design, build and optimize data ingestion and transformation pathways spanning APIs, file processing, and configurable inputs.
  • Maintain and enhance the data/infrastructure engineering aspects end-to-end ensuring high performance, scalability and reliability
  • 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 enhance the necessary infrastructure to scale our platform.
  • Participate in engineering on-call rotations, addressing production issues and diving into both code and data to analyze and solve problems reported through customer-facing channels.
  • Write technical documentation for internal and external stakeholders.

About You

Requirements

  • Strong understanding of data processing needs of real-time and batch systems for transactional and analytical processing
  • Extensive experience with SQL and Python
  • Experience designing and deploying high performance systems with reliable monitoring and logging practices
  • Deep knowledge of data pipeline orchestration tools and best practices (e.g., Airflow, dbt).
  • 5+ years of experience building and maintaining large-scale software systems

Good to have

  • Experience with implementing Python web services in Flask, FastAPI, or similar
  • Experience working at small companies and wearing many hats
  • Comfort with rapid system diagnosis, debugging, and remediation under pressure
  • Prior experience working in marketing, e-commerce, or ad-tech
  • Experience working with cloud infrastructure such as Google Cloud Platform or AWS
  • Experience or a desire to leverage infrastructure-as-code

Values

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

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow APIs Architecture AWS Data pipelines dbt E-commerce Engineering FastAPI Flask GCP Google Cloud Machine Learning Pipelines Python SQL

Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Startup environment Team events

Region: North America
Country: United States

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