> Markdown version of [/jobs/ext/3736124-database-developer-oracle-etl](https://www.wearedevelopers.com/jobs/ext/3736124-database-developer-oracle-etl). 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). --- # Database Developer Oracle ETL - **Company:** Intersources Inc. - **Location:** Woburn, MA, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Databases, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Oracle Data Service Integrator, Oracle Databases, Oracle (Applications), PL-SQL, SQL Databases, Database Performance, Oracle Service Cloud, Information Technology, Oracle Cloud Infrastructure - **Published:** October 14, 2026 - **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/26920991#/jobs/26920991 ## About the Role We are looking for a Senior Contract to hire resource with proven expertise in Oracle databases, SQL, and PL/SQL, particularly in the ETL processes using Oracle Data Integrator (ODI). The ideal candidate should have a strong aptitude for communication and a knack for translating complex business processes into logical technical solutions. Knowledge of Oracle Cloud Infrastructure, Oracle Analytics Server (OAS) and Python is considered advantageous. ## Description Bachelor's degree in computer science, Information Technology, or related field. 7+ years of experience as a Database Engineer, with a focus on Oracle databases, SQL, PL/SQL, Data Warehousing and ETL. Design, develop, and maintain ETL processes using Oracle Data Integrator (ODI) to ensure efficient and accurate data movement and transformation. Collaborate closely with cross-functional teams to gather requirements, analyze complex business processes, and translate them into logical technical solutions. Optimize database performance, troubleshoot issues, and implement solutions to ensure data integrity, reliability, and scalability. Develop and maintain documentation, including data models, process flows, and technical specifications. Effectively communicate technical concepts and solutions to stakeholders at all levels.