NTT DATA Services· enterprise· Oct 9, 2026 · 19d ago
Remote, TN, US
Location
In office
Work mode
Full-time
Schedule
Senior
Level
$120K–$176K est.
Estimated compensation
3+ years exp
Experience
Job description
Req ID: 393405
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior Data Engineer (w/ Oracle & OLTP) - On-Site to join our team in Plano, TX. Please note that this role will be on-site 5 days/week.
We are seeking a Senior Data Engineer to support the evolution of an enterprise customer profile platform and its integration with a broad ecosystem of applications. In this role, you will design, develop, and optimize data solutions, database platforms, and integration capabilities that power critical business processes and data assets. You will leverage cloud-native technologies, modern data engineering practices, and AWS and Snowflake capabilities to deliver scalable, reliable solutions that improve data accessibility, quality, and performance.
Required Qualifications:
• 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
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate.
For candidates in both Plano, TX and Nashville, TN, the starting pay range is $93,816-$162,875. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.
This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, us.nttdata.com .
NTT DATA endeavors to make us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at us.nttdata.com . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .
Requirements
Must-haves
Req ID: 393405
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior Data Engineer (w/ Oracle & OLTP) - On-Site to join our team in Plano, TX. Please note that this role will be on-site 5 days/week.
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
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.
Nice-to-haves
2+ years of programming experience using Java and/or Python, with Java strongly preferred
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
Application prep
Use the role’s language and application details while tailoring your materials.