Req ID: 378310

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.

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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 [redacted].com, [redacted].com and [redacted].nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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