Job Information
Insight Global Data Engineer in Newark, New Jersey
Job Description
•Build and maintain data pipelines that collect, store, and transform data to support analytics use cases and business outcomes.
•Implement data ingestion and transformation workflows in Microsoft Fabric, using Fabric-native capabilities such as notebooks, pipelines, and lakehouse patterns.
•Develop and operationalize data solutions across lakehouse layers (e.g., landing and standardized “Bronze” data through curated “Silver/Gold” outputs) aligned to the platform’s workspace architecture and OneLake design.
•Ensure data solutions are reliable and supportable by incorporating monitoring, issue resolution, and ongoing enhancements to pipelines and datasets.
•Collaborate across teams (engineering, analytics, product, and stakeholders) to translate data needs into scalable, reusable solutions and improved workflow efficiency.
•Support secure and appropriate use of Fabric assets by following established access and workspace practices.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
5-7 years of data engineering background
ETL and strong data pipelining experience with Python and SQL
Strong Microsoft Fabric experience for data transformation and integration purposing
Azure cloud experience - DataVault 2.0 and Erwin modeling experience
Data domain experience
Azure SQL experience