> Markdown version of [/jobs/ext/4292740-data-engineer-sql-plsql-java](https://www.wearedevelopers.com/jobs/ext/4292740-data-engineer-sql-plsql-java). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - SQL/PLSQL & Java - **Company:** Capgemini - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $80,420 - $106,050 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Data Analysis, Confluence, JIRA, Databases, Continuous Integration, Information Engineering, PostgreSQL, Microsoft SQL Server, Oracle (Applications), PL-SQL, SQL Databases, Git, Information Technology, Bitbucket, Data Pipelines, Jenkins - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3a67126048f21de5 ## About the Role * The ideal candidate will have strong experience with SQL Managed Instances in cloud, as well as a solid understanding of modern data engineering best practices and experience in Agile software delivery., * Design, develop, and maintain high-quality data pipelines and solutions for core applications. * 6 to 9 years of data engineering experience with strong proficiency in database technologies like Oracle, Postgres and SQLServer. * Strong experience on SQL and PL/SQL * Design, develop, enhance and support data pipelines using Java, Javascript and full stack capabilities * Perform comprehensive data analysis to support business requirements. * Develop and maintain data pipelines using Java. * Implement and maintain CI/CD pipelines to ensure smooth and efficient data ingestions and delivery. * Passion for data engineering and a commitment to excellence. * Degree in Computer Science, Data Engineering, Information Technology, or equivalent. * Experience working with Jenkins, CI/CD, Git, Jira, Bitbucket and Confluence ## Description * This role involves the data analysis, ETL, and ingestion of data along with the opportunity to analyze and draw key insights from collected data.