Description

You are looking for a job that will truly engage you. You have an entrepreneurial spirit and can make things happen in a fast-paced startup environment. You want to grow and be challenged, but above all you want to work towards a mission, and for your work to have meaning.

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. Our mission is about justice at scale: imagine walking into work every day knowing that you’re not only advancing your career, but making a positive impact on the world. Darrow has more than 90 team members in Tel Aviv and New York, and is backed by world class investors: Georgian, F2 Venture Capital, Entree Capital, NFX and YCombinator.

Our Research team is growing, and we are looking for a Senior Data Engineer to join the team. 

Not Your Typical Senior Data Engineer Role

You're a crucial pivot in our R&D unit, ensuring our data flows seamlessly, is stored efficiently, and can be accessed and interpreted for justice at scale. You will be responsible for designing our data architecture, implementing and maintaining data pipelines from various sources, and building our databases.

At Darrow there is no one way of doing things. We are open to new ideas and we encourage creativity, new initiatives and entrepreneurial minds.

Responsibilities

• You will devise scalable solutions to enhance the capabilities of Darrow’s legal data team to analyze factual information and extract legal implications from it.
• Design data analytics modeling solutions with the data science and ML engineers
• Collaborate with peer engineering teams (backend & frontend developers and architects) as well as data scientists, product managers, and data analysts to understand business priorities and translate these requirements into data models.
• Work with DevOps and engineers to design and implement our infrastructure.

Requirements

• SQL expertise, working with various databases (relational and NoSQL), data warehouses, and 3rd party data sources and AWS cloud services.
• 4+ Years of experience as a Data Engineer / Backend Developer.
• 4+ Years of experience with a programming language (Python, Java, NodeJS).
• Experience with designing Databases and Data pipelines and complex architecture.
• English ( spoken & written).

Advantages for:

• Knowledge of advanced Bigdata topics and distributed computing.
• Knowledge of K8s, Docker, Spark, Elastic, and Airflow.
• Familiarity with data warehousing concepts and systems.