Senior Data Engineer: Lead Scalable Pipelines & Platform

Core Specialty Insurance Holdings, Inc.

Cincinnati (OH)

On-site

USD 140,000 - 170,000

Full time

39 hours ago
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Job summary

Core Specialty Insurance Holdings, Inc. is seeking a Senior Data Engineer to own and scale our data platform. You will design data pipelines, improve AI/ML data readiness, and mentor the team while ensuring robust, scalable solutions across the analytics stack.

This role emphasizes hands-on engineering with leadership duties, performance tuning, and cross-functional collaboration with product and engineering teams.

Qualifications

  • Bachelor's degree in related field or equivalent experience.
  • 7+ years of data engineering experience on large-scale platforms.
  • Experience owning complex projects from design through delivery.
  • Experience with AI/ML data platforms (feature stores, governed datasets, streaming access).
  • Experience with Terraform and GitHub Actions for CI/CD.
  • Proficient in modular code with notebooks.
  • Hands-on with Snowflake or Databricks and Azure Synapse Analytics/MS Fabric.
  • Mentoring or guiding other engineers.
  • Experience in Property & Casualty insurance data domain preferred.

Responsibilities

  • Design, build, and optimize data pipelines and platform components for analytics and AI/ML use cases.
  • Own high-complexity engineering initiatives from design to rollout.
  • Identify and resolve performance, scalability, and reliability bottlenecks.
  • Improve data models, governance, and access patterns for AI/ML readiness.
  • Diagnose and resolve production issues, including on-call support.
  • Write clean, well-tested code and infrastructure-as-code.

Skills

Python
Scala
SQL
Data pipelines
Distributed processing
Cloud platforms
Data governance
Mentoring
IaC
CI/CD

Education

Bachelor's degree in related field
Equivalent experience

Tools

Snowflake
Databricks
Azure Synapse Analytics
MS Fabric

Job description

Core Specialty Insurance Holdings, Inc. is seeking a Senior Data Engineer to own and scale our data platform. You will design data pipelines, improve AI/ML data readiness, and mentor the team while ensuring robust, scalable solutions across the analytics stack.

This role emphasizes hands-on engineering with leadership duties, performance tuning, and cross-functional collaboration with product and engineering teams.

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