Staff Software Engineer, Northbeam
Data Systems, Python
$190-220k
+ Equity
Marketing intelligence platform
Open for applications
Marketing intelligence platform
21-100 employees
Open for applications
$190-220k
+ Equity
21-100 employees
Company mission
The new standard for eCommerce intelligence.
Role
Who you are
- Curiosity, experience, and a desire to build data pipelines and applications at scale will be the key to success in this role
- 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
- 8+ 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
- Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, or ads, or games. We sell data: quality integrations with a variety of platforms, fresh and reliable data pulls, robust data ingest APIs, correct aggregations and algorithmic insights on top of that data, all packaged up in a user-facing application
- What this means for you is that high-quality, robust data integration is at the core of what we do, and your work will have a direct connection to the company’s success
- 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 customers’ 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
- 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
Application process
- The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager
- Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time
- We accept applications on an ongoing basis
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
Company
Funding (1 round)
Aug 2022
$15m
SERIES A
Total funding: $15m
Company HQ
SoMa, San Francisco, CA
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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