Backend Data Engineer

Description

Here at Lusha, we power sales with data. Over 1.5M users and teams at Google, Zendesk, and Yotpo use our platform to find verified contacts, spot real-time buying signals, and automate workflows with 200M+ records.

As a Backend Data Engineer in our Data Group, you'll design and build data-powered backend services that drive compliance, scale, and impact—working across event-driven systems, privacy workflows, and high-volume data pipelines to power core business capabilities.

What You'Ll Actually Do:

• Build scalable backend services in Node.js using Kafka, queues, and microservice architecture
• Work with Python in data-intensive flows across Databricks
• Power core compliance systems: Contacts notice delivery, opt-out handling, data subject requests
• Collaborate with legal, product, and data teams to translate regulation into code
• Own integrations with providers like OneTrust, and ensure end-to-end data flow
• Use AI-enhanced tooling where it improves speed, quality, or insight
• Work closely with engineers across Israel and Ukraine—daily syncs, shared ownership

Requirements

• 3+ years of backend development experience, with strong Node.js skills
• Solid understanding (or hands-on experience) in Python, especially for data workflows
• Familiarity with Kafka, event-based architectures, and backend design best practices
• Experience with relational databases like Postgres and cloud-based data platforms
• Proactive mindset—you don’t wait for tasks, you help shape them
• Comfortable working across remote teams and cross-functional environments
• Bonus: experience with privacy tech (OneTrust, GDPR tooling) or Databricks

Why Lusha:

• Join a mission-driven group where data, law, and product intersect
• Build systems that truly matter—used daily to support compliant growth
• Work with a tight-knit, global team with high ownership and low ego
• Enjoy full-stack exposure: backend logic, data pipelines, regulatory tooling
• Embrace autonomy and growth in a hybrid Tel Aviv-based role
• Be part of a company where AI is part of the mindset, not just the roadmap