Senior Data Engineer - Azure Analytics & ML Ops

Selective; North Carolina; On-site; USD 106,000 - 146,000; Full time

Job summary

Selective Insurance seeks a Sr. Data Engineer to drive data and analytics projects for the Customer Analytics team within Information Management. The role requires hands-on data engineering, collaboration with multiple stakeholders, and strong communication to deliver scalable solutions.

You will work on data applications, data integration, and reporting platforms across Marketing, CX, and Contact Center, with exposure to Azure services and ML workflows.

Qualifications

• Five to seven years of experience in Data Warehousing, Data integration or Data Engineering projects.
• Proficient in SQL.
• Experience working within Azure ecosystem.
• Experience in Informatica Powercenter, IICS, Cognos, Netezza Performance servers.
• Experienced in analytics platforms - PowerBI, AzureML, Databricks or Synapse.
• Experience using Python or Scala.
• Azure DevOps and Github is preferred.
• P&C Insurance experience is preferred.
• Excellent communication skills.
• Bachelor’s degree in computer science or related engineering field preferred.

Responsibilities

• Hands-on development and support of data applications.
• Collaborate with business & analysts to understand data needs and design solutions.
• Review low level designs with architects and data flows.
• Provide guidance for complex data solutions.
• Develop, review, deploy, and document data integrations.
• Maintain documentation for downstream integrations.
• Support production issues as needed.
• Act as scrum master for related activities.
• Explore new data tech trends for organizational use.

Skills

SQL

Azure

PowerBI

Python

Scala

Databricks

Synapse

CI/CD

Communication

Education

Bachelor's degree in computer science or related engineering field

Tools

Informatica PowerCenter

IICS

Cognos

Netezza

Azure DevOps

Github

PowerBI

Job description

Selective Insurance seeks a Sr. Data Engineer to drive data and analytics projects for the Customer Analytics team within Information Management. The role requires hands-on data engineering, collaboration with multiple stakeholders, and strong communication to deliver scalable solutions.

You will work on data applications, data integration, and reporting platforms across Marketing, CX, and Contact Center, with exposure to Azure services and ML workflows.