Data Engineer

Accelerant; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

Accelerant is seeking a Data Engineer to build and optimize a robust data platform that underpins its SaaS offering and analytics. You will design modern, metadata-driven data pipelines, APIs, and cloud infrastructure to enable data-driven decisions across the organization.

With 2+ years of data engineering experience, you will work in AWS with Snowflake, SQL, and Python, contributing to DataOps, real-time and batch ingestion, and guidelines that promote learning and knowledge sharing.

Qualifications

• 2+ years’ experience as a Data Engineer.
• Experience developing in AWS and Snowflake.
• Proficiency in SQL and Python.
• Knowledge of DataOps methodologies, tools, and processes.

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

Skills

AWS

Snowflake

SQL

Python

DataOps practices

Data ingestion

Tools

dbt

Job description

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

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