Full Stack Software Engineer – Data Observability, Operational Tooling

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Accelerant

Accelerant

201 - 500 Mitarbeiter

Gegründet 2018

☁️ SaaS

🤝 B2B

💰 €150.000.000 Private Equity Round - Accelerant im 2023-06

SaaS • B2B

Accelerant ist eine digitale Risikobörse und Versicherungsplattform, die Managing General Agents (MGAs), Underwriter, Rückversicherer und institutionelles Kapital über einen technologiegestützten, datengesteuerten Marktplatz verbindet. Die Plattform bietet Echtzeitanalysen, Underwriting-Tools, Leistungskennzahlen und operativen Support (aktuarisch, Schadenregulierung, regulatorisch), um die Distribution von Spezialversicherungen zu optimieren und schnellere, transparentere Kapitalbereitstellungen zu ermöglichen. Accelerant positioniert sich als SaaS-Partner für Spezialversicherungsunternehmen mit dem Fokus auf Effizienzsteigerung, Transparenz und profitables Wachstum.

Beschreibung

• 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

🎯 Anforderungen

• 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.

🏖️ Vorteile

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

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