Senior Data Engineer - Azure, Data & ML Ops

Selective Insurance; Short Hills (NJ); On-site; USD 106,000 - 146,000; Full time

Benefits offered by this job

Health care plans

Retirement plan with company match

Employee Stock Purchase Program

Tuition assistance and reimbursement

20 days paid time off

Job summary

Selective Insurance is seeking a Senior Data Engineer to join the Information Management group and work on data and analytics projects supporting the Marketing, Customer Experience and Contact Center areas. The role requires hands-on development of data applications and collaboration with analytics teams to deliver scalable solutions.

The candidate will design, implement, and optimize data pipelines, work with Azure-based tools (Power BI, Databricks, Synapse) and lead technical discussions.

Qualifications

• Five to seven years of experience in Data Warehousing, Data integration or Data Engineering projects.
• Ability to effectively work well with people in other departments and/or outside of the enterprise.
• Proficient in SQL.
• Experience working within Azure ecosystem
• Experience in Informatica Powercenter, IICS, Cognos, Netezza Performance servers
• Experienced in any of these analytical platforms - PowerBI, AzureML, Databricks or Synapse
• Experience using Python or Scala.
• Experience in Azure DevOps and Github is preferred
• P&C Insurance experience is preferred
• Possesses excellent communication skills.
• Bachelor's degree in computer science or related engineering field preferred.

Responsibilities

• Hands on development and support of new or existing data applications.
• Work closely with business and analysts to understand data and business process and make recommendations to clients as requested on best practices or long-term solutions to resolve current issues and also for future system design
• Works closely with Application and Enterprise Architects to create/review low level implementation designs, understand high level data flow designs developed by data architects.
• Provide technical guidance to the team for implementing complex data solutions.
• Provide support in the design, development, code reviews, test deploy and documentation of data engineering and data integration Applications.
• Maintain detailed documentation to support downstream integrations
• Provide support for production issues
• Performs activities of a scrum master
• Identify technology trends and explore opportunities for use within the organization

Skills

SQL

Python/Scala

Communication skills

Education

Bachelor's degree in computer science or related engineering field

Tools

Azure

Informatica Powercenter

IICS

Cognos

Netezza Performance servers

PowerBI

AzureML

Databricks

Synapse

Azure DevOps

GitHub

Job description

Selective Insurance is seeking a Senior Data Engineer to join the Information Management group and work on data and analytics projects supporting the Marketing, Customer Experience and Contact Center areas. The role requires hands-on development of data applications and collaboration with analytics teams to deliver scalable solutions.

The candidate will design, implement, and optimize data pipelines, work with Azure-based tools (Power BI, Databricks, Synapse) and lead technical discussions.