> Markdown version of [/jobs/ext/3788824-senior-data-engineer-w-oracle-oltp-on-site](https://www.wearedevelopers.com/jobs/ext/3788824-senior-data-engineer-w-oracle-oltp-on-site). 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). --- # Senior Data Engineer (w/ Oracle & OLTP) - On-Site - **Company:** NTT DATA Corporation - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $104,240.0 - $130,300.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Computer Programming, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Distributed Systems, Python (Programming Language), Online Transaction Processing, Oracle Databases, Oracle (Applications), Performance Tuning, Amazon Simple Notification Service (SNS), SQL Stored Procedures, PL-SQL, SQL Databases, Systems Integration, Apache Kafka, Data Management, Api Design, Amazon Simple Queue Service (SQS), Data Pipelines - **Published:** October 16, 2026 - **Apply:** https://careers-inc.nttdata.com/talentcommunity/apply/1440494000/?locale=en_US ## About the Role * 3+ years of Data Engineering experience. * 3+ years of hands-on experience with Oracle RDBMS, including SQL, PL/SQL, stored procedures, and query/performance optimization. * 3+ years of experience designing, developing, and supporting ETL and data integration solutions * 2+ years of experience with messaging and event-driven technologies, such as Kafka, Amazon Kinesis, SNS, SQS, or similar platforms * 2+ years of programming experience using Java and/or Python, with Java strongly preferred * 1+ year of experience developing or supporting solutions in AWS cloud environments. * 2+ years of experience supporting Online Transaction Processing (OLTP) systems and high-volume transactional workloads. Preferred Qualifications: * Experience supporting production applications and data platforms, including troubleshooting and incident resolution * Experience building and maintaining end-to-end data pipelines * Experience with API-based integrations and distributed systems * Experience developing scalable, high-performance data solutions * Understanding of enterprise data architecture and integration patterns