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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - TEM, Python, Julia - **Company:** NTT DATA Corporation - **Location:** Plano, TX, United States - **Experience:** Experienced - **Salary:** $93,816.0 - $162,875.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Microsoft Azure, Big Data, Code Review, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Masking, Data Transformation, Job Scheduling, Python (Programming Language), Metadata, Cloud Services, Azure Data Lake, SQL Databases, Test Data, Snowflake, Data Management, Data Delivery, Data Pipelines, Databricks - **Published:** July 9, 2026 - **Apply:** https://careers-inc.nttdata.com/talentcommunity/apply/1406880000/?locale=en_US ## About the Role * 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 ## Description We are currently seeking a Data Engineer - TEM, Python, Julia to join our team in Plano, Texas (US-TX), United States (US)., We 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Dirty Tests And How To Clean Them](https://www.wearedevelopers.com/videos/515-dirty-tests-and-how-to-clean-them) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)