Data Engineer

• Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
• Contribute to architecture decisions, observability tooling, and data quality initiatives that keep our platform robust and maintainable.
• Contribute to a scalable internal framework for managing prompt engineering pipelines and other AI workflows.
• Enforce and elevate engineering best practices across the AI/ML org, including code quality, testing, and documentation.

Senior Data Engineer

• Architect the Data Platform – Own the end-to-end design of our data infrastructure.
• Make the foundational calls on pipeline architecture, data modeling patterns, and platform evolution across Snowflake, dbt, Airflow, and Terraform.
• Define Engineering Standards – Establish and enforce practices around data quality, testing, observability, and deployment that the rest of the team builds on.
• Enable Data-Driven Decisions at Scale – Design semantic layers and data models complex enough to support underwriting, finance, and executive strategy.
• Drive Data Governance – Own the governance posture: data contracts, SLAs, lineage, and documentation.
• Shape the ML and AI Foundation – Partner with data science and engineering leadership to ensure the platform supports advanced analytics, ML pipelines, and AI initiatives.
• Elevate the Team – Mentor engineers, conduct rigorous code and design reviews, and actively close skill gaps.
• Partner at the Leadership Level – Engage directly with actuarial, underwriting, finance, and product leaders to translate business complexity into technical roadmap.

Principal Data Engineer

• Data Engineer III serves as an emerging individual contributor within a team, expanding your leadership, guidance and mentoring skills.
• With the support and guidance of leadership, you will be responsible for supporting the goal of meeting scope, schedule and delivery requirements.
• You will interact with stakeholders and utilize influential skills to drive improvements in data engineering processes and practices.
• Builds data infrastructure, pipelines, systems, and tools with a little feedback and guidance from their team.
• Intermediate understanding of data management and transformation of raw data into interpretable information.
• Ability to create accurate and accessible datasets for Data Analysts and Scientists to interpret and use.
• Own maintenance of data architectures and systems.
• Practices technical and communications skills to improve context knowledge and mentor junior data engineers.
• Presents on and writes about their work to both internal and external parties.
• Participates in planning sessions, building an understanding of data architectures and infrastructure.
• Supports recruiting efforts by evaluating homework assignments and potentially assisting with interviews.

Data Engineer jobs in North America

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Senior Data Engineer

Principal Data Engineer

Data Engineer III