Full Stack Software Engineer - Data Observability & Operational Tooling

About Accelerant

Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit www.accelerant.ai.

Accelerant is building a new platform that will serve as the backbone of how risk is exchanged in the future. The Data Observability team is looking for a Full Stack Software Engineer with a front-end emphasis to build and serve the internal operational tooling and data observability capabilities that power our data platform.

This is a unique role: you'll be a software engineer embedded within a data analytics engineering team, working with a high degree of independence to design and deliver tooling that makes data pipelines visible, actionable, and trustworthy for stakeholders across the business.

• Designing and building front-end interfaces for internal operational tooling, including dashboards, data observability views, and stakeholder communication surfaces
• Developing rich data visualizations that surface pipeline health, data quality metrics, and business KPIs to technical and non-technical audiences
• Building and maintaining backend services that support operational tooling, integrating with data infrastructure such as Snowflake, dbt, and monitoring platforms
• Collaborating closely with data engineers, analytics engineers, and business stakeholders to translate data observability requirements into intuitive, high-quality interfaces
• Working independently as a software engineer within a data-focused team, driving technical decisions for the tooling layer while leveraging other full stack teams across the organization for guidance and support
• Shipping iteratively, balancing speed of delivery with code quality, maintainability, and scalability
  

• Experience building and scaling web applications, with particular strength in front-end development
• Strong understanding of modern JavaScript/TypeScript frameworks and component-based architectures
• Comfort working with data-heavy interfaces: tables, charts, filters, and interactive visualizations
• Ability to work independently and drive projects end-to-end with minimal oversight
• Strong coding ability and a track record of shipping high-quality software
• Excellent communication skills, with the ability to collaborate effectively with data engineers, product managers, and business stakeholders
• Passionate problem-solving mindset and a strong sense of ownership.
  

• Experience with TypeScript
• Experience with Svelte, or equivalent modern component framework (React, Vue)
• Experience building data visualization and dashboard interfaces (e.g., D3.js, Chart.js, Plotly, or similar)
• Experience with cloud platforms such as AWS
• Familiarity with data platforms and tools such as Snowflake, dbt, or similar analytics infrastructure
• Experience with SQL and comfort working with analytical data sets
• Experience with Python is a plus, given the data team's tooling ecosystem
• Experience with monitoring and observability platforms (e.g., Datadog, Grafana) is a plus.