Data Engineer

Job Description

A services organization in New Jersey is looking to fill an immediate need with the addition of a new Data Engineer to their team.

About the Opportunity:

Shift: Day shift

Schedule: Monday to Friday

Hours: Standard business

Setting: Hybrid (at least 2 days onsite per week)

Responsibilities:

Develop and support new and existing data applications.

Partner with business users and analysts to understand data needs and recommend effective long-term solutions.

Work with application and enterprise architects to review implementation designs and data flows.

Provide technical guidance for complex data solutions, including code reviews, testing, deployment, and documentation.

Support production issues, maintain integration documentation, and contribute to broader data engineering initiatives.

Qualifications:

5-7 years of experience in Data Warehousing, Data Integration, or Data Engineering projects.

Strong data engineering fundamentals with ETL experience

Advanced data modeling experience with emphasis on dimensional modeling

Proficiency in SQL

Hands-on experience with Azure Databricks and the Azure ecosystem.

Experience using Python or Scala

Strong communication skills and the ability to work effectively across teams

Proven ability to own work independently

Desired Skills:

Experience with Power BI, Azure ML, or Synapse

Familiarity with Informatica PowerCenter, IICS, Cognos, or Netezza Performance Server

Experience with Azure DevOps or GitHub

Background in Property and Casualty Insurance

Bachelor's degree in computer science or a related engineering field

Experience leading workstreams or delivering end-to-end project implementations