Full Stack Software Engineer – Data Observability, Operational Tooling
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Job Description
Full Stack Software Engineer building and serving internal operational tooling for a data analytics team at Accelerant. Focus on front-end development and collaboration with data and engineering teams.
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
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
- 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.
Benefits:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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