spellbook.legal - Senior Data Engineer
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Requirements
• AWS, CDK, Dagster, Athena, Glue, SageMaker, Docker, TypeScript • You have 5+ years of experience in Infrastructure Engineering or Data Platform Engineering. • You have exceptional communication skills. You can explain and advocate your ideas to a diverse audience, and you document architectural decisions clearly. • You can take an ambiguous, high-impact platform requirement from a vague abstract idea, to a working prototype, to a production-ready system deployed to serve internal teams and unblock product delivery. • You are a self-starter and problem-solver motivated by curiosity and a desire to help others succeed, encouraged by continuous improvement. • You are a team player who is motivated to help Spellbook succeed. When things break you are eager and able to help fix them. You think of and implement ways to improve the work of the team as a whole. • You have a firm grasp of cloud infrastructure, distributed systems, and relevant security/compliance considerations, and can reason clearly about tradeoffs in cost, reliability, and simplicity. • You have the ability to break complex and vague requirements down into clear achievable enhancements that ship in record time. • Experience with workflow orchestration tools (e.g. Dagster, Airflow, Prefect) • Experience working with data warehouses or lakehouses (e.g. Athena, Iceberg, Snowflake) • Experience supporting machine learning workflows (e.g. dataset generation, experimentation, model pipelines) • Experience designing and implementing deletion and retention systems with auditable processes (SOC2-aligned) • Experience integrating product analytics data into a warehouse
Responsibilities
• Work as part of a distributed team to identify and implement impactful improvements to the company’s data platform, accelerating product and AI development • 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, ensuring they are reliable, reproducible and easy to evolve, with robust backfill and reprocessing capabilities • Designing and implementing data retention and deletion workflows that meet legal and compliance requirements • Contribute to architectural decisions and documentation as the platform evolves
Benefits
• Embrace autonomy and accountability in a flexible work environment; we focus on outcomes and empower you to determine how to get the job done • 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 • INCLUSIVE HIRING AT SPELLBOOK • Spellbook uses industry benchmark data to establish compensation bands for all roles. The salary range listed for a position reflects the expected total wage range for the role—including base salary and on-target commissions, where applicable—and may span multiple career levels. Final compensation is determined during the interview process based on factors such as experience, skills, scope, and role level. In addition to base salary and applicable commissions, total rewards may include equity, health and wellness benefits, and other company programs. Full details will be shared during the interview process.
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