Staff Software Engineer, Northbeam
Data Systems
+ Equity
Marketing intelligence platform
Open for applications
Marketing intelligence platform
21-100 employees
Open for applications
+ Equity
21-100 employees
Company mission
The new standard for eCommerce intelligence.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
Traditionally in-person stores used a plethora of consultants, accountants and agencies to seek improvements that would boost their bottom line. Now, in the age of internet-enabled commerce, data richness and a totally new customer acquisition landscape has made those services irrelevant.
Instead, startups like Northbeam have emerged to fulfil those roles for the modern age. In particular, Northbeam provides services for eCommerce intelligence. That means applying machine learning and first-party data to drive more efficient and scalable marketing strategies.
Northbeam received substantial funding in 2022 that is being used to expand its machine-learning capabilities, especially since the 2021 Apple iOS updates. These updates made it more difficult for brands to track consumer behavior across the internet and to accurately advertise to the users most likely to buy their products. Machine learning advances will undoubtedly help Northbeam get ahead of this curve.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
112% employee growth in 12 months
Company
Funding (1 round)
Aug 2022
$15m
SERIES A
Total funding: $15m
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Austin Harrison
(CEO)Previously helped build the first audience panel for NetRatings which went public in 1999 and Nielsen acquired the last 40% in 2007 for $327M.
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