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Senior Software Engineer - Data Solutions

Authentic InsuranceNew York, New York, United States
On-site Full-time

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Experience Level

Senior

Qualifications

Experience Required5+ years of experience in building and maintaining data pipelines and infrastructure in production settings at scale. Strong expertise with modern data stack tools including Snowflake, dbt, and Airflow (or similar orchestration tools). Extensive experience in Python for data processing and pipeline development. In-depth understanding of data modeling best practices (such as dimensional modeling, slowly changing dimensions, data vault, etc.). Familiarity with AWS data services and infrastructure-as-code principles. Demonstrated ability to take initiative and ownership, effectively defining success and driving projects to completion. Proven track record of developing reliable systems without compromising speed—you understand when to prioritize quality over velocity.

About the job

At Authentic Insurance, we empower insurance brokers to develop exceptional insurance products tailored to the needs of their clients. Our innovative technology platform and comprehensive support enable brokers to create custom insurance solutions for specific industries and customer segments. Essentially, we serve as the backbone of these specialized insurance offerings, allowing brokers to provide unique products that set them apart from competitors. This not only enhances their revenue potential but also minimizes the time spent on administrative tasks and paperwork. We take on the complexities of technology, compliance, and partnerships with top-rated insurance carriers, enabling brokers to concentrate on delivering unparalleled service to their clients and expanding their businesses.

Key Responsibilities

  • Lead the design and execution of data pipelines and infrastructure that fuel underwriting models, claims processing, and operational reporting, overseeing the process from initial problem identification to final delivery.
  • Manage the data warehouse architecture, making informed decisions that optimize analytical performance, meet operational demands, and ensure long-term scalability.
  • Establish technical standards and best practices for data modeling, pipeline development, and data quality across the engineering team.
  • Identify and resolve bottlenecks in the data stack, developing solutions that enhance reliability, reduce latency, and support business growth.
  • Collaborate with engineering, product, and operations teams to understand data requirements and translate them into effectively designed systems.
  • Create monitoring, alerting, and data quality frameworks to proactively identify issues before they affect downstream users.
  • Promote data governance practices, including documentation, lineage tracking, and access controls to meet regulatory and compliance standards.
  • Mentor and guide team members, fostering their technical growth and encouraging a sense of ownership.

About Authentic Insurance

Authentic Insurance is at the forefront of innovation in the insurance industry, providing brokers with the tools and resources necessary to create tailored insurance solutions. We are committed to simplifying the complex landscape of insurance technology, thereby enabling brokers to focus on their core mission: serving their clients.

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