Senior Software Engineer, Northbeam
Data Systems, Python
$170-200k
+ Equity package
Marketing intelligence platform
Open for applications
Marketing intelligence platform
21-100 employees
Open for applications
$170-200k
+ Equity package
21-100 employees
Company mission
The new standard for eCommerce intelligence.
Role
Who you are
- 5+ years of experience in data engineering, software engineering, or integration engineering, with a focus on ETL, APIs, and data pipeline orchestration
- Strong proficiency in Python
- Experience with API-based ETL, handling REST, GraphQL, Webhooks
- Experience implementing authentication flows
- Proficiency in SQL and BigQuery
- Experience with orchestration frameworks (e.g., Airflow) to manage and monitor complex data workflows
- Familiarity with containerization (Docker, Kubernetes) to deploy and scale workloads
- Ability to drive rapid development while ensuring maintainability, balancing short-term delivery needs with long-term platform stability
Desirable
- Detailed understanding of authentication mechanisms (OAuth 2.0, API keys, secrets management) and secure multi-tenant architectures
- Experience working with ERP systems, CRMs, CDPs, or complex other enterprise data tools and their APIs
- Exposure to event-driven architectures and real-time data processing tools
- Knowledge of data governance, compliance (GDPR, SOC2), and security best practices for handling sensitive data
- Experience working in a multi-tenant SaaS or large-scale data-intensive environment
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 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
- Curiosity, experience, and a desire to build data pipelines and applications at scale will be the key to success in this role
- This is a startup. The one thing that’s constant is change. To start with, you can expect to:
- Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources, ensuring reliability, observability, and maintainability
- Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems
- Work with event-driven and batch processing architectures, ensuring data freshness and consistency at scale
- Drive clean API design and integration patterns that support both real-time and batch ingestion while handling diverse authentication mechanisms (OAuth, API keys, etc.)
- Implement observability, monitoring, and alerting to track data freshness, failures, and performance issues, ensuring transparency and reliability
- Optimize data flows and transformations, balancing cost, efficiency, and rapid development cycles in a cloud-native environment
- Collaborate with data engineering, infrastructure, and product teams to create an integration platform that is flexible, extensible, and easy to onboard new sources
- You will work with great people who have done this many times before. You will teach them some new tricks, and maybe learn some old ones
- If this sounds like your kind of chaos, we’d love to hear from you
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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