Job Overview
Job description
- Location:
- Remote (United States), United Kingdom, Canada
- Work arrangement:
- Remote
Role Summary
About Accelerant
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit www.accelerant.ai .
At Accelerant, we're not just keeping pace with technological advancements, we're leading the charge. As we refine and expand our operations, we're looking for a forward-thinking Data Engineer to join our dynamic team.
As a Data Engineer, you will take on a central role in constructing and optimizing our robust data platform. This platform is at the heart of our operations—it drives our SaaS platform, underpins our internal analytics, and fuels our operational systems.
In this role, you'll have the unique opportunity to design and build solutions that don't just deliver insights but lay the foundation for Accelerant's success in the digital landscape. Whether it's shaping unique selling propositions or pushing the boundaries of what our technology can do, your work will influence every corner of our organization.
Responsibilities
- Analyse and ingest new datasets from varied sources
- Design, build, and support cloud infrastructure
- Design, build, and support AI and ML processes and infrastructure
- Design and build modern, metadata driven data pipelines and data streams
- Design and build data service APIs
- Transform and cleanse complex datasets
- Analyse current business practices, processes and procedures
- Implement effective metrics and monitoring processes
- A commitment to learning and sharing knowledge
Required Skills/Experience
- 2 or more years’ experience working as a Data Engineer
- Experience of developing in AWS
- Snowflake
- SQL
- Python
- Experience with DataOps methodologies, tools, and processes.
Desirable Skills
- dbt
- Experience handling structured and unstructured datasets
- Experience in AI and Machine Learning
- Experienced in real-time and batch mode data ingestion
- Experience in Data Warehouse development
- General P&C Insurance business knowledge
About the Company
Accelerant (NYSE: ARX)isais a data-driven risk exchangetransforming specialty insurance through data,advanced analytics,andAI driven insights.Our marketplace and proprietary technology platformempowerssmall-to-medium businesses to thrive by connecting specialty risk underwriters (typically MGAs, captive managers, retail brokers) with risk capital providers (Insurers, Reinsurers, Institutional Investors), creating more efficient and transparent ecosystem for specialty insurance with smarter products, data and AI.Startedin late 2018, over $4B of annual premiumwas transacted on the Accelerant Risk Exchangein the last 12 months ended Q3 2025.For more information, please visit .
- Role:
- Data Engineer
- Job Type:
- Salaried, Full-Time
Company profile

Accelerant
accelerant.aiAccelerant is a data-driven risk exchange that connects specialty insurance underwriters, typically MGAs, captive managers and retail brokers, with risk capital providers such as insurers, reinsurers and institutional investors. Through the Accelerant Risk Exchange, it offers real-time data, underwriting and referral tools, and performance metrics like GWP and loss ratio, aiming to make specialty insurance more efficient and transparent for small-to-medium businesses. Jeff Radke and Chris Lee-Smith launched the business in Europe in 2018, it expanded to the US in 2020, and it is listed on the NYSE under the ticker ARX.
- Founded
- 2018
- Funding Stage
- Public
In the news
Accelerant Holdings’ Go-Shop Period Ends, Thoma Bravo Advances
The Globe and Mail ·