Software Engineer - Data

🏢 Authenticinsurance · 📍 New York, New York, United States
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Position Summary & Responsibilities

Authentic helps insurance brokers create better insurance products for their clients. We provide the technology platform and behind-the-scenes support that lets brokers build custom insurance solutions for specific industries or customer groups. Think of us as the operating system that powers these specialized insurance offerings. For brokers, this means they can offer unique products their competitors don't have, earn more money, and spend less time on paperwork and administrative tasks. We handle the complex (technology, compliance, and partnerships with highly-rated insurance carriers), so they can focus on serving their customers and growing their business.

Responsibilities

  • Design and build reliable data pipelines and infrastructure that power underwriting models, claims processing, and operational reporting
  • Own data models end-to-end—from source ingestion through transformation to delivery—ensuring data quality, freshness, and accessibility for internal teams, product features, and external partners
  • Identify bottlenecks in existing data workflows and implement solutions that improve reliability, reduce latency, and scale with business growth
  • Build and maintain the data warehouse architecture, optimizing for both analytical workloads and operational use cases
  • Partner with engineering, product, and ops teams to understand data needs and translate them into well-designed pipelines and models
  • Implement monitoring, alerting, and data quality checks to catch issues before they impact downstream consumers
  • Contribute to data governance practices, including documentation, lineage tracking, and access controls for regulatory and compliance needs

Experience

  • 3-5 years of experience building and maintaining data pipelines and infrastructure in production environments
  • Strong proficiency with modern data stack tools: Snowflake, dbt, and Airflow (or similar orchestration tools)
  • Experience with Python for data processing and pipeline development
  • Solid understanding of data modeling best practices (dimensional modeling, slowly changing dimensions, etc.)
  • Familiarity with AWS data services and infrastructure-as-code
  • Demonstrated ownership mindset: you clarify requirements, ask great questions, and drive work to completion
  • Track record of building
🎯 Candidate Preparation Guide For Authenticinsurance Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Disrupting traditional risk underwriting and distribution models through modern embedded insurance infrastructure.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Treating insurance like simple e-commerce without respecting loss ratios and capital requirements
  • 2. Ignorance of compliance, licensing, and carrier paper dependencies
  • 3. Overlooking the importance of claims servicing in the overall product lifecycle
✨ Recommended Role Alignment Hook:

I build modern insurtech infrastructure that turns complex risk underwriting into a seamless, API-driven developer experience.

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