[Remote] Software Engineer, Data Systems (Python) at Northbeam

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Not SpecifiedVisa

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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)
2+ years of experience building and maintaining large-scale software systems
Experience with implementing Python web services in Flask, FastAPI, or similar
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

Responsibilities

Work with 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 machine learning and data science systems to deliver insights to customers
Maintain and enhance the necessary infrastructure to scale the platform
Participate in engineering on-call rotations, addressing production issues and diving into both code and data to analyze and solve problems
Write technical documentation for internal and external stakeholders

Skills

Northbeam

Marketing intelligence platform for advertisers

About Northbeam

Northbeam is a marketing intelligence platform that helps businesses optimize their advertising budgets and improve performance, specifically targeting brands that spend over $250,000 monthly on ads. It combines Multi-Touch Attribution (MTA) to track customer interactions and Media Mix Modeling (MMM) to analyze the effectiveness of various marketing channels. Northbeam operates on a subscription-based model with custom pricing, offering personalized support to clients. The goal is to enable large-scale advertisers to make data-driven decisions and maximize the effectiveness of their marketing strategies.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$14.6MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Consulting, Consumer GoodsIndustries

51-200Employees

Benefits

Equity package

Generous base salary

Healthcare Benefits (medical, dental, vision)

Travel to meet with the team

Flexible Paid Time Off

Paid Holidays

Risks

Emerging competitors offer similar features at lower costs, threatening Northbeam's market share.

Privacy regulations like CCPA may increase Northbeam's operational costs.

Economic downturns could reduce advertising budgets, impacting Northbeam's revenue growth.

Differentiation

Northbeam integrates Multi-Touch Attribution and Media Mix Modeling in one platform.

The platform offers personalized support with a Customer Success Manager and Media Strategist.

Northbeam's machine learning models enhance data-driven marketing strategies without third-party cookies.

Upsides

Northbeam raised $19.6M to expand and accelerate product development in 2023.

The platform's AI-driven predictive analytics align with rising trends in marketing.

Growing ecommerce and DTC brands create opportunities for Northbeam's international expansion.

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