Data Engineer - Remote

Overview

Our client is on the hunt for a Data Engineer who brings strong Python development experience and is eager to build data pipelines from scratch. This role is pivotal to shaping the data infrastructure that powers AI-driven insurance analytics and risk exchange platform.

In Short

• Design, develop, and maintain robust, metadata-driven data pipelines (batch and real-time).
• Ingest, transform, and cleanse varied datasets—from internal sources, partners, and third-party providers.
• Develop and support cloud-based infrastructure, APIs, and data services that drive Accelerant’s SaaS platform and analytics.
• Ensure data quality through effective monitoring, metrics, validation, and DataOps practices.
• Collaborate closely with product managers, data scientists, analysts, and engineers to understand data needs and to deliver scalable, performant solutions.
• Continuously refine pipelines for better performance, scalability, and reliability.

Requirements

• Proven experience as a Python Developer (3–5 years or more), with a clear progression into data engineering.
• Hands-on experience building data pipelines from scratch using Python.
• Strong SQL skills and familiarity with modern data stack tools.
• Experience with cloud platforms (preferably AWS).
• Solid understanding of DataOps methodologies and tools.

Benefits

• Join a remote-first, high-trust team where engineers, data scientists, and seasoned insurance experts collaborate closely and ship features rapidly.
• Be part of a mission-driven platform that bridges technological innovation with insurance industry transformation.
• Gain autonomy, equity, flexible schedules, and the chance to impact small and midsize businesses through smarter insurance mechanisms.