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Data Engineer - TDM, Python, Julia

Role overview

Qualifications

  • 3–6 years of experience in Data Engineering or ETL development
  • Hands-on experience with Python and/or Julia
  • Experience implementing Test Data Management (TDM) practices
  • Strong SQL and data transformation skills

Responsibilities

  • 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

About the company

NTT DATA logo

NTT DATA

Information Technology & Services

NTT DATA – a part of NTT Group – is a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. NTT DATA enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.

Company details

Company typeXLarge
IndustryInformation Technology & Services
Company size10001

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Job description

Data Engineer - TDM, Python, Julia - 26-01348
2yrs Duration
Remote
Temp W2 Only - No C2C


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.


Job Description: Data Engineer (TDM, Python, Julia) – Intermediate Level
Project: – Project Sunshine


Role Overview
We are seeking an Intermediate-Level Data Engineer with expertise in Test Data Management (TDM), Python, and Julia to support the Project Sunshine initiative. This role focuses 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
• 3–6 years of experience in Data Engineering or ETL development
• Hands-on experience with Python and/or Julia
• Experience implementing Test Data Management (TDM) practices
• Strong SQL and data transformation skills
• 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
• Successful support of Project Sunshine milestones

About NTT DATA:

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is $90 to $105.  This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several 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 that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, 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.

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make https://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 https://us.nttdata.com/en/contact-us. 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.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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