Full Stack Software Engineer - Data Observability & Operational Tooling

Full Stack Software Engineer - Data Observability & Operational Tooling

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.

What you'll be doing

• 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
  
  

What you bring to the table

• 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.
  
  

Desired qualifications

• 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.