Software Data Engineer (Evergreen)

Demandbase

51d

About The Position

Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. With a unified view of data, insights, actions, and outcomes, B2B enterprises can seamlessly align and execute their account-based GTM strategies with confidence. Thousands of businesses trust Demandbase to maximize revenue, minimize waste, and consolidate their data and tech stacks – all in one platform. As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have also continuously been recognized as One of The Best Places To Work in the San Francisco Bay Area by Fortune, and One of The 60 Best Companies To Sell For by Selling Power. Our offices are located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom. At Demandbase, we’re always looking for exceptional engineering talent to help shape the future of our data-driven products. This posting is intended for individuals interested in being considered for future opportunities on our Data Products team as they become available. As part of the Data Products group, Software Engineers help build the infrastructure and APIs that power Demandbase’s industry-leading B2B data platform. Our customers rely on these systems to fuel their go-to-market strategies with precision and scale. If you’re passionate about scalable data systems, APIs, and empowering customers through data, we’d love to stay in touch and reach out when a position opens that matches your skills and experience.

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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees