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
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