Senior Data Engineer

🕒 May 20

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Spellbook

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS • Legal

Spellbook is an innovative AI companion designed specifically for commercial lawyers, offering advanced legal tools to streamline and enhance the process of drafting and reviewing contracts. It allows users to draft from scratch or saved libraries, review and redline contracts to catch risks, compare contracts against industry standards, and get quick answers to complex legal questions. Trusted by over 2,600 law firms and in-house teams worldwide, Spellbook integrates with popular platforms such as Word and is powered by advanced AI models like GPT-4. It enhances efficiency for legal professionals across various areas, including real estate, intellectual property, mergers and acquisitions, and more, by providing a secure and compliant service.

📋 Description

• Work as part of a distributed team to identify and implement impactful improvements to the company’s data platform • Design, architect and implement scalable data infrastructure supporting both analytics and AI/ML-driven product features. • Build and maintain compliant, auditable data storage and processing systems in AWS, with infrastructure-as-code. • Develop and operate robust data pipelines and orchestration systems and own the generation of core datasets • Contribute to architectural decisions and documentation as the platform evolves • Other responsibilities as required.

🎯 Requirements

• You have 5+ years of experience in Infrastructure Engineering or Data Platform Engineering. • You have exceptional communication skills. • You can take an ambiguous, high-impact platform requirement from a vague abstract idea to a working prototype, to a production-ready system. • You are a self-starter and problem-solver motivated by curiosity and a desire to help others succeed. • You are a team player who is motivated to help Spellbook succeed. • You have a firm grasp of cloud infrastructure, distributed systems, and relevant security/compliance considerations. • You have the ability to break complex and vague requirements down into clear achievable enhancements that ship in record time. • Nice to have: Experience with workflow orchestration tools (e.g. Dagster, Airflow, Prefect), data warehouses or lakehouses (e.g. Athena, Iceberg, Snowflake), supporting machine learning workflows, deleting and retention systems (SOC2-aligned), and integrating product analytics data into a warehouse.

🏖️ Benefits

• Access our company-paid group benefits for you and your family, with $1,000 towards mental health support • Disconnect during our holiday closure and take advantage of our generous time off policies throughout the year • Enjoy monthly paid meals, an annual wellness allowance to support your well-being and parental leave top-ups as your family grows • Secure your stake in our success; you'll receive competitive stock option grants as a pivotal early employee