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Accelerant

Full Stack Software Engineer – Data Observability, Operational Tooling

Accelerant

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.

Posted 5/2/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudD3.jsGrafanaJavaScriptPythonReactSQLSvelteTypeScriptVue.js

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

ATS Keywords

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Hard Skills & Tools
JavaScriptTypeScriptSvelteReactVueD3.jsChart.jsPlotlySQLPython
Soft Skills
communicationproblem-solvingownershipindependencecollaborationproject managementtechnical decision-makingcode qualitymaintainabilityscalability