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# Data Engineer

- **Company:** Vforce Infotech
- **Location:** Edison, NJ, United States
- **Salary:** $60,000.0 - $80,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Data Analysis, Bash Shell, Big Data, Cloud Database, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Design, Dimensional Modeling, Apache Hadoop, Apache Hive, Python (Programming Language), Linked Data, Unix Shell, Microsoft SQL Server, Oracle (Applications), Azure Data Lake, Shell Script, SQL Databases, Talend, Apache Spark, Data Management, Restful APIs, Looker Analytics
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7ef556f38b589a02

## About the Role

* Experience with data engineering, data modeling, data warehousing design, ETL pipeline development, SQL, and Python.
 * Familiarity with public cloud, big data, SQL databases, and business intelligence tools; experience with Java is also useful.
 * Knowledge of Informatica or Talend, Apache Hive, Spark, Hadoop, Oracle, Microsoft SQL Server, and Azure Data Lake is valued.
 * Strong analysis skills and ability to work with data models, query management, and data integration.
 * Bash (Unix shell) and shell scripting experience are preferred.

## Description

As a Data Engineer, you'll build and maintain reliable data systems that help teams turn information into useful insights. You'll design data models, develop extract, transform, and load (ETL) pipelines, and support analytics and business intelligence tools. Your work will connect data across cloud and on-premises platforms, making it easier for teams to access, understand, and use trusted information., * Develop and maintain data engineering solutions, ETL pipelines, and data management integrations.

 * Design data warehouses, SQL databases, cloud databases, and dimensional models; manage queries and support database design.
 * Build and optimize big data systems using technologies such as Hadoop, Apache Hive, and Spark.
 * Integrate data through RESTful application programming interfaces (APIs), linked data, and platforms including AWS, Azure Data Lake, Oracle, and Microsoft SQL Server.
 * Collaborate in Agile software development, supporting analytics, model training, and reporting with tools such as Looker.