Software Data Engineer

November 25

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Demandbase

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B2B • SaaS • Artificial Intelligence

Demandbase is a B2B pipeline AI platform that helps go-to-market teams (marketing, sales, revenue operations, and customer success) identify, prioritize, and engage buying groups to accelerate pipeline and revenue. The SaaS platform unifies first-, second-, and third-party data, provides intent detection, account and buying-group identification, web personalization, advertising, and orchestration across the tech stack, and delivers actionable AI-powered insights to drive account-based marketing and sales at scale.

501 - 1000 employees

Founded 2005

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Collaborate with Product and other Engineers to build scalable data products and APIs • Own and evolve schemas, data models, and pipelines for datasets like Buying Groups, Account Journeys, and Intent signals • Drive architecture decisions and delivery for new datasets and partner integrations • Bring a customer-centric mindset to engineering—ensuring we build the right things, the right way • Help scale our data model configuration and generation infrastructure to meet growing demand • Contribute to team culture, mentorship, and technical best practices

🎯 Requirements

• 5+ years of experience in software engineering with a focus on data systems, backend development, or APIs • Proficiency in one or more backend languages: Python, Scala, Go, Java • Experience in Frontend Technologies (preferably TypeScript, React) • Strong experience with data modeling, schema evolution, and ETL/ELT pipelines • Hands-on experience with cloud platforms (AWS, GCP), databases (Postgres, BigQuery), and streaming (Kafka, PubSub) • Experience building customer-facing APIs and/or data products • A strong product mindset and excitement for collaboration with PMs and customers • Excellent communication skills and a bias for action.

🏖️ Benefits

• Offers Equity