Senior Software Engineer, Northbeam
Data Systems
+ Equity package
More information about location
Marketing intelligence platform
Be an early applicant
Marketing intelligence platform
21-100 employees
Be an early applicant
+ Equity package
More information about location
21-100 employees
Company mission
The new standard for eCommerce intelligence.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
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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