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Data Engineer at G2i, Remote (Global)

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.

Responsibilities:

• 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.

Qualifications:

Required:

• 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), consistent with Accelerant’s tech environment Accelerant Risk Exchange+1.
• Solid understanding of DataOps methodologies and tools Accelerant Risk Exchange.

Nice to Have:

• Familiarity with Snowflake, dbt, or similar modern data warehousing and transformation tools Accelerant Risk Exchange+1.
• Experience managing structured and unstructured datasets.
• Exposure to AI/ML workflows or infrastructure.
• Background in real-time data ingestion or API-based data services.

Why You’ll Love Working Here:

• Join a remote-first, high-trust team where engineers, data scientists, and seasoned insurance experts collaborate closely and ship features rapidly Accelerant Risk Exchange.
• 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 Accelerant Risk Exchange+1.

Ready to Apply?
Please send your resume and a brief cover letter highlighting your Python background and pipeline-building experience