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Northbeam

Staff Software Engineer, Data Systems (Python)

Reposted 10 Days Ago
Remote
Senior level
Remote
Senior level
As a Data Engineer, you will build scalable data pipelines, collaborate with teams, and optimize data architecture, delivering insights for marketing attribution.
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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

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.

Marketing attribution for the direct-to-consumer (DTC) space involves creating, maintaining and improving a labyrinth of 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 customer’s 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.
  • Provide technical leadership to various 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 as part of a cross functional effort with your peers.
  • 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 augment the necessary infrastructure to scale our platform.
  • Write technical documentation for internal and external stakeholders.

About YouRequirements

  • Solid understanding of data processing needs of real-time and batch systems for transactional and analytical processing
  • Experience with SQL / Java / Scala / Spark / 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, 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

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

Top Skills

Airflow
AWS
Azure
BigQuery
Dbt
Google Cloud Platform
Java
Kafka
Pinot
Python
Scala
Spark
SQL

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