Senior Software Engineer, Data Systems – Python

🕒 June 8

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Northbeam

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

📣 Marketing

📦 Logistics

💼 Consulting

💰 $15M Series A on 2022-08

Marketing • Logistics • Consulting

Northbeam is a marketing intelligence platform that specializes in multi-touch attribution and media mix modeling, powered by machine learning, to enhance profitable growth. The platform offers tools like omnichannel planning, real-time data analytics, and creative analytics to optimize ad spends, improve cross-channel performance, and drive growth for ecommerce brands. Trusted by top brands, Northbeam provides data-driven insights into customer journeys and ad performance with a focus on first-party data. Its solutions help businesses understand conversion paths, optimize budget mixes, and tackle creative fatigue for maximum return on ad spend.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• equity package • comprehensive healthcare benefits (medical, dental, and vision) • 401(k) plan • flexible PTO policy • 12 company-paid holidays • 12 weeks of paid parental leave • $500 work-from-home stipend