Software Engineer, Data Systems – Python

🕒 November 19, 2025

🇺🇸 United States – Remote

💵 $140k - $155k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 62%

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

• Build and maintain data pipelines that ingest and transform data from a variety of sources, with an eye toward reliability and maintainability • Develop and support APIs that enable secure, tenant-aware data integrations with external systems • Work within event-driven and batch processing architectures to keep data fresh and consistent • Contribute to API design and integration patterns supporting real-time and batch ingestion across OAuth, API keys, and other authentication mechanisms • Add monitoring and alerting that surfaces data freshness issues, failures, and performance problems before customers notice them • Improve existing data flows and transformations, weighing cost, efficiency, and speed of delivery in a cloud-native environment • Partner with data engineering, infrastructure, and product teams to make the integration platform easier to extend and onboard new sources

🎯 Requirements

• 3+ years of experience in data engineering, software engineering, or integration engineering, with exposure to ETL, APIs, or data pipeline work • Solid working proficiency in Python • Experience building against REST APIs; familiarity with GraphQL or webhooks is a plus • Comfort with SQL and some exposure to a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar) • Some exposure to orchestration frameworks such as Airflow, Dagster, or Prefect • Willingness to work in a containerized environment (Docker) • A track record of shipping steadily and asking good questions when the path isn't obvious • Experience implementing authentication flows (OAuth 2.0, API keys, secrets management) • Familiarity with Kubernetes or other production deployment tooling • Experience working with ERP systems, CRMs, CDPs, or other enterprise data tools and their APIs • Exposure to event-driven architectures and real-time data processing tools • Awareness of data governance and compliance considerations (GDPR, SOC 2) • Experience in a multi-tenant SaaS or data-intensive environment

🏖️ 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