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Why this grade This listing scored 51/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
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- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
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- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
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This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Developer Data Science Mid level Full Time
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 .
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.
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
- 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
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 23 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.