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Senior Data Engineer

Job in Brandon, Manitoba, Canada
Listing for: Spellbook
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Job Description & How to Apply Below

Spellbook is the most comprehensive AI copilot for transactional lawyers. It works directly inside Microsoft Word to help legal teams draft, review, and negotiate contracts up to 10x faster and with greater precision. Today, more than 4,000 law firms, in-house teams, and solo practitioners rely on Spellbook to simplify their workflows and eliminate the drudgery of everyday contract work.

We are backed by leading investors including Khosla Ventures, Thomson Reuters Ventures, Inovia Capital, The Legal Tech Fund, Bling Capital, and Moxxie Ventures. The company recently raised $50 million in Series B funding, led by Keith Rabois at Khosla Ventures, bringing its total funding to more than $80 million.


* This is an existing vacancy

ABOUT

THE ROLE

Spellbook is seeking a Senior Data Engineer to join our growing team. In this role, you’ll lead the design and development of scalable data infrastructure that powers both internal analytics and AI-driven product capabilities, helping transform large volumes of contract data into actionable market insights. You’ll build reliable, compliant, and extensible systems that accelerate product development and support the next stage of Spellbook’s growth.

As a Senior Data Engineer, you’ll play a key role in shaping the future of Spellbook’s data platform. You’ll operate at the intersection of data engineering, infrastructure, and product strategy, with broad ownership across architecture, execution, and long-term platform evolution.

THE TECH STACK
  • AWS, CDK, Dagster, Athena, Glue, Sage Maker, Docker, Type Script
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
  • Other responsibilities as required.
QUALIFICATIONS
  • 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.
NICE TO HAVES
  • Experience with workflow orchestration tools (e.g. Dagster, Airflow, Prefect)
  • Experience working with data warehouses or lake houses (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
WHY JOIN SPELLBOOK?
  • 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…
Position Requirements
10+ Years work experience
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