Data Engineer - TDM, Python, Julia

Remote in Plano, TX, US • Posted 1 day ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Adaptability
  • Finance
  • Analytics
  • Privacy
  • Provisioning
  • Usability
  • Mapping
  • Meta-data Management
  • Technical Writing
  • Production Support
  • Optimization
  • Data Link Layer
  • Network Layer
  • Workflow
  • Root Cause Analysis
  • Job Scheduling
  • Recovery
  • Data Governance
  • Data Quality
  • Collaboration
  • Quality Assurance
  • Agile
  • Data Engineering
  • TDM
  • SQL
  • Python
  • Julia
  • Extract
  • Transform
  • Load
  • ELT
  • Orchestration
  • Databricks
  • Snow Flake Schema
  • Data Lake
  • Data Integration
  • Data Management
  • Data Masking
  • Health Care
  • Regulatory Compliance
  • Cloud Computing
  • Microsoft Azure
  • Insurance
  • IT Consulting
  • Management
  • Artificial Intelligence
  • Research and Development
  • Accessibility
  • Law

Summary

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 HIP nd 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 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80166078
  • Position Id: 189e1e40ebd53f30eb7ff72e0a8631f4
  • Posted 1 day ago
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