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Accelerant

Data Engineer

Work from homeNew today

Remote role where the employee must remain based in a particular country.

United States only

Employer listed it 2h ago · Added today

First listed today.

Salary

Not stated

Location

United States only

Timezone

US East

Contract

Full-time

Experience

Mid

Category

Data

This employer didn't state pay. Jobs like this usually pay around $115k–$215k a year, a typical range taken from 180 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Remote (United States)"

What Nomaders makes of it

  • Residency required in United States
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

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 .

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

Requirements

  • ·2 or more years’ experience working as a Data Engineer
  • ·Experience of developing in AWS
  • ·Experience with DataOps methodologies, tools, and processes.
  • ·Desirable Skills

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Accelerant, mentioning your remote working experience and working hours (US East).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 15h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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Typically $115k to $215k per year · You'll be taken to the employer's careers page.