Data Engineer

Accelerant

$90K — $130K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of Data Engineering experience
  • Proficient in AWS cloud services
  • Experience with Snowflake
  • Strong SQL skills
  • Proficient in Python programming
  • Knowledge of DataOps methodologies and tools

Responsibilities

  • Analyze and ingest new datasets from diverse sources
  • Design and support cloud infrastructure
  • Develop AI and ML processes and infrastructure
  • Create modern data pipelines and streams
  • Build data service APIs
  • Transform and cleanse complex datasets
  • Assess current business practices and implement monitoring metrics

Benefits

  • Opportunity to work with cutting-edge technology
  • Environment that encourages learning and knowledge sharing
  • Impactful role influencing company-wide operations
  • Chance to lead initiatives in data analytics and infrastructure
  • Exposure to a variety of datasets and business processes
Full 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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