About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
