Data Engineer (Data Platform)
6 - 10 years
United States
Full-time
Remote
1 month ago
About the role
Data Engineer (Data Platform)
Location - candidates must be based on EST timezone but the role is remote first, either in the United States or Canada.
Job Description
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.
This is within a Platform team, building infrastructure to support other Data Engineers across the organisation.
Key Responsibilities
Required Skills/Experience
Location - candidates must be based on EST timezone but the role is remote first, either in the United States or Canada.
Job Description
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.
This is within a Platform team, building infrastructure to support other Data Engineers across the organisation.
Key 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
- Proven track record as a Data Engineer or Platform Engineer within a Data environment.
- Experience with Infrastructure as Code / Terraform
- Experience of developing in AWS, Snowflake, SQL, Python
- Experience with DataOps methodologies, tools, and processes.
- Comfortable applying AI tools to real engineering problems — whether that's automating data quality checks, accelerating pipeline development, or augmenting monitoring with LLM-based insights
Skills
InsuranceEngineering