Remote Data Engineer

Description:

• Our client is seeking a Data Engineer with a strong Python development background to build data pipelines from scratch.
• This role is essential for shaping the data infrastructure that supports AI-driven insurance analytics and risk exchange platforms.
• Key responsibilities include designing, developing, and maintaining robust, metadata-driven data pipelines for both batch and real-time processing.
• The Data Engineer will ingest, transform, and cleanse diverse datasets from internal sources, partners, and third-party providers.
• The role involves developing and supporting cloud-based infrastructure, APIs, and data services that drive the company's SaaS platform and analytics.
• Ensuring data quality through effective monitoring, metrics, validation, and DataOps practices is a critical responsibility.
• Collaboration with product managers, data scientists, analysts, and engineers is necessary to understand data needs and deliver scalable, performant solutions.
• Continuous refinement of pipelines for improved performance, scalability, and reliability is expected.

Requirements:

• A proven experience as a Python Developer for 3–5 years or more, with a clear progression into data engineering is required.
• Hands-on experience in building data pipelines from scratch using Python is essential.
• Strong SQL skills and familiarity with modern data stack tools are necessary.
• Experience with cloud platforms, preferably AWS, is required to align with the company's tech environment.
• A solid understanding of DataOps methodologies and tools is essential for this position.
• Familiarity with Snowflake, dbt, or similar modern data warehousing and transformation tools is a nice-to-have.
• Experience managing structured and unstructured datasets is preferred.
• Exposure to AI/ML workflows or infrastructure is a plus.
• A background in real-time data ingestion or API-based data services is also beneficial.

Benefits:

• The position offers the opportunity to join a remote-first, high-trust team where collaboration among engineers, data scientists, and seasoned insurance experts is encouraged.
• Employees will be part of a mission-driven platform that combines technological innovation with the transformation of the insurance industry.
• The role provides autonomy, equity, flexible schedules, and the chance to impact small and midsize businesses through smarter insurance mechanisms.