Senior Software Engineer, Northbeam
Python/Data & Infrastructure
$170-200k
+ Equity
Marketing intelligence platform
Be an early applicant
Marketing intelligence platform
21-100 employees
Be an early applicant
$170-200k
+ Equity
21-100 employees
Company mission
The new standard for eCommerce intelligence.
Role
Who you are
- We are looking for a Senior Software Engineer with experience in data integration, API-based ETL pipelines, and cloud-native architecture, plus a strong interest in infrastructure engineering
- 5+ years of experience in data engineering, software engineering, or infrastructure-focused engineering, with a focus on ETL, APIs, and cloud-native orchestration
- Strong proficiency in Python
- Experience with API-based ETL, handling REST, GraphQL, and Webhooks
- Experience implementing authentication flows
- Proficiency in SQL and BigQuery
- Experience with orchestration frameworks (e.g., Airflow, Prefect) to manage and monitor complex workflows
- Familiarity with containerization (Docker, Kubernetes) and cloud infrastructure (GCP/AWS) to deploy and scale workloads
- Strong grounding in infrastructure as code (Terraform, Pulumi, CloudFormation) for repeatable, auditable environments
- Ability to drive rapid development while ensuring maintainability, balancing short-term delivery with long-term platform stability
Desirable
- Deep understanding of authentication mechanisms (OAuth 2.0, API keys, secrets management) and secure multi-tenant architectures
- Experience designing and operating high-availability, distributed systems in cloud environments
- Exposure to event-driven architectures and real-time data processing tools
- Knowledge of data governance, compliance (GDPR, SOC2), and security best practices
- Experience working in a multi-tenant SaaS or data-intensive environment at scale
What the job involves
- You’ll help us not just ship data pipelines, but also design the systems that make them observable, secure, and resilient at scale
- You’ll work with a small engineering team to create a platform that consolidates third-party data from advertising platforms, e-commerce systems, customer data warehouses, ERP, POS, and CRM systems. Along the way, you’ll tackle questions of scalability, multi-tenancy, system reliability, data validation, cost optimization, and developer ergonomics
- Curiosity, willingness to do the hard thing, and an enjoyment of a startup pace of development will be the key to success in this role
- Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources, with reliability and observability baked in
- Engineer the infrastructure behind those pipelines, including containerized workloads, orchestration, monitoring, and CI/CD that enables the team to move quickly without breaking things
- Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems
- Balance event-driven and batch processing architectures, ensuring data freshness, correctness, and cost efficiency
- Implement observability, monitoring, and alerting to track system health, failures, and performance issues—covering both data quality and infrastructure reliability
- Contribute to platform resilience by designing for fault tolerance, autoscaling, and graceful failure handling in a multi-tenant cloud environment
- Collaborate across data engineering, infrastructure, and product teams to ensure that the integration platform is flexible, extensible, and easy to onboard new data sources
- You will work with great people who have built systems like this before. You’ll teach them some new tricks—and maybe learn some old ones
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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