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Data Engineer - & Modeler Informatica

Role overview

Qualifications

  • 3–6 years of experience in Data Engineering and/or Data Modeling
  • Experience building and maintaining enterprise data pipelines
  • Experience working with large, complex datasets
  • Strong SQL and data modeling expertise

Responsibilities

  • Design, build, and maintain ETL/ELT data pipelines for data ingestion and transformation
  • Develop data integration workflows to support enterprise analytics
  • Implement scalable data processing frameworks and automation pipelines
  • Monitor pipeline execution and ensure data availability and reliability

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


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 - & Modeler Informatica to join our team in Plano, Texas (US-TX), United States (US).

Job Description: Data Engineer & Data Modeler – Intermediate Level
Project: Project Sunshine

Role Overview
We are seeking an Intermediate-Level Data Engineer & Data Modeler to support the Project Sunshine initiative. This role focuses on designing, building, and maintaining data pipelines and data models that enable scalable, high-quality data products across the organization.

Key Responsibilities
Data Engineering & Pipeline Development
• Design, build, and maintain ETL/ELT data pipelines for data ingestion and transformation
• Develop data integration workflows to support enterprise analytics
• Implement scalable data processing frameworks and automation pipelines
• Monitor pipeline execution and ensure data availability and reliability

Data Modeling & Design
• Design logical and physical data models to support business requirements
• Define data structures, relationships, and schemas across domains
• Develop standardized data layers (e.g., Bronze/Silver/Gold)
• Collaborate with stakeholders on data mappings and business logic

Data Integration & Quality
• Perform source-to-target mapping and transformation design
• Implement data quality checks and validation rules
• Maintain data lineage, metadata, and documentation
• Support integration of enterprise data sources

Production Support & Optimization
• Provide L2/L3 support for data pipelines
• Monitor and optimize pipeline performance
• Perform root cause analysis and issue resolution
• Support job scheduling and error handling processes

Collaboration & Delivery
• Work with data architects, analysts, and BI teams
• Translate business requirements into technical solutions
• Support data platform modernization initiatives
• Participate in Agile processes such as sprint planning and code reviews

Required Qualifications
• 3–6 years of experience in Data Engineering and/or Data Modeling
• Experience building and maintaining enterprise data pipelines
• Experience working with large, complex datasets
Technical Skills
• Strong SQL and data modeling expertise
• Experience with ETL/ELT tools (Informatica, DataStage, ADF, etc.)
• Experience with Python, Spark, or similar frameworks
• Familiarity with platforms such as Snowflake, Databricks, or Azure Data Lake
• Knowledge of pipeline orchestration and integration patterns

Preferred Qualifications
• Experience with Azure-based data platforms
• Exposure to data governance and metadata management tools
• Experience in healthcare or regulated environments
• Experience supporting data modernization initiatives

Key Success Metrics
• Reliable and timely pipeline execution
• High-quality data models supporting analytics
• Improved data quality and reduced errors
• Successful support of Project Sunshine milestones

About NTT DATA:

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 provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is  90$/hr to 95$/hr . This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits



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

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