Description

We’re Darrow - a fast-growing legal tech startup with an open, action-based culture unlike any other. We are committed to pursuing our vision of "frictionless justice," using advanced Machine Learning & AI to revolutionize the justice system.

We’re not just looking for someone to maintain pipelines, databases, or APIs. This role goes beyond typical engineering, offering you a unique opportunity to influence business-critical decisions, shape the technology stack, and work at the intersection of data, business, and product innovation. If you are passionate about solving complex problems and thrive in a dynamic, entrepreneurial environment, this is your chance to make an impact.

Responsibilities

• Design, implement, and manage scalable, reliable products
• Develop and maintain CI/CD pipelines for efficient software delivery
• Implement and manage ETLs and backend infrastructure
• Implement and maintain best practices across our infrastructure
• Collaborate with development teams to improve deployment processes

Why you should join us:

• Ben, Yoni & Guy: The best team members!
• Join at a pivotal moment: This is a pivotal time to join the Data team. We are in the early stages of developing our data platform, and your technical expertise will shape our architecture and technology choices for years to come.
• Product & Impact-Driven mindset: You won't just work with data—you’ll collaborate closely with product managers, data scientists, engineers, and customers to ensure our solutions drive meaningful results across all company products.
• Core Team Influence: The Data team is central to everything we do. Your work will have a direct impact on the success of our products and the company as a whole. You’ll collaborate with multiple departments, providing the backbone that power our mission of frictionless justice.

Requirements

• 5+ Years of experience as a Data Engineer / Backend Developer.
• 5+ Years of experience with a programming language (Python, Java, NodeJS) - We are working in Python :)
• Experience with designing data platforms, Data pipelines, and complex architecture.
• Familiarity with one of the main cloud providers.
• English ( spoken & written).

Advantages:

• Knowledge of advanced Bigdata topics and distributed computing.
• Knowledge of K8s, Docker, Spark, Elastic, and Airflow.