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# Remote Data Engineer - & Modeler Informatica

- **Company:** NTT DATA Corporation
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $121,162.0 - $224,375.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Business Logic, Microsoft Azure, Big Data, Code Review, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Structures, IBM InfoSphere DataStage, Job Scheduling, Python (Programming Language), Metadata, Meta-Data Management, Scrum Methodology, Standard Sql, Azure Data Lake, Data Ingestion, System Availability, Delivery Pipeline, Snowflake, Apache Spark, Data Layers, Integration Frameworks, Data Management, Data Pipelines, Databricks
- **Published:** July 9, 2026
- **Apply:** https://careers-inc.nttdata.com/talentcommunity/apply/1406774400/?locale=en_US

## About the Role

* 6+ years of experience in Data Engineering and/or Data Modeling
 * 6+ years of experience building and maintaining enterprise data pipelines
 * 6+ years of 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

## Description

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


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