Data Engineer - TEM, Python, Julia

Req ID: 378310 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 Data Engineer - TEM, Python, Julia to join our team in Plano, Texas (US-TX), United States (US).Role OverviewWe are seeking an Intermediate-Level Data Engineer with expertise in Test Data Management (TDM), Python, and Julia focusing on building, maintaining, and optimizing data pipelines and test data frameworks that enable high-quality, compliant, and scalable data delivery across clinical, financial, and operational domains. Data Engineering & Pipeline Development• Design, build, and maintain ETL/ELT data pipelines for enterprise data ingestion and transformation• Develop scalable processing solutions using Python and/or Julia• Implement reusable pipeline components and automation frameworks• Ensure reliable, high-performing pipelines supporting analytics and downstream systems Test Data Management (TDM)• Design and implement test data management solutions for development and QA environments• Create synthetic and masked datasets aligned with privacy and compliance requirements• Support provisioning of test data to ensure availability and usability• Ensure test data reflects real-world conditions while maintaining regulatory compliance Data Integration & Transformation• Perform source-to-target mapping and implement transformation logic• Integrate data across enterprise systems to ensure consistency• Maintain data lineage, metadata, and technical documentation Production Support & Optimization• Provide L2/L3 support for data pipelines and workflows• Monitor and optimize pipeline performance and reliability• Troubleshoot issues and perform root cause analysis (RCA)• Support job scheduling and failure recovery processes Data Quality & Compliance• Implement validation rules and reconciliation processes• Ensure adherence to data governance and healthcare regulatory standards• Improve data quality, consistency, and trustworthiness Collaboration & Delivery• Work with data architects, QA teams, and business stakeholders• Translate business needs into technical pipeline and TDM solutions• Participate in Agile development cycles and code reviews Required Qualifications• 5+ years of experience in Data Engineering or ETL development• 5+ years of experience with Python and/or Julia• 5+ years of experience implementing Test Data Management (TDM) practices• 5+ years of experience with SQL and data transformation skills• 3+ years of experience working with large, complex datasets Technical Skills• Python, Julia programming• ETL/ELT tools and pipeline orchestration• Data platforms (Databricks, Snowflake, Azure Data Lake, etc.)• Data integration and transformation techniques• Test data management and data masking Preferred Qualifications• Experience with healthcare data environments• Knowledge of HIPAA and regulatory compliance requirements• Experience with cloud data platforms (Azure preferred)• Exposure to data modernization initiatives Key Success Metrics• Reliable pipeline performance and data availability• High-quality, compliant test data delivery• Reduced incident resolution times NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $93,816 - $162,875 per year. Actual compensation will depend on a number of factors, including the candidate’s 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. #LaunchJobs #LI-NorthAmerica #LaunchEngineering 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, NTT DATA endeavors to make 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 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.