Data Engineer III

We are seeking an experienced Data Engineer III to design, develop, and maintain modern enterprise data platforms supporting business intelligence and analytics initiatives., * Design, build, and maintain scalable enterprise data pipelines

• Develop and optimize Snowflake data warehouse solutions
• Create and maintain DBT models
• Build reusable and modular data transformation pipelines
• Design logical and physical data models
• Maintain and modernize IBM DataStage ETL processes
• Integrate data from multiple enterprise systems
• Develop batch and near real-time data processing solutions
• Build scalable data models for Business Intelligence
• Optimize SQL queries and warehouse performance
• Monitor data quality and implement validation processes
• Troubleshoot ETL failures and production issues
• Collaborate with Data Architects, BI Developers, and business stakeholders
• Support disaster recovery and data resiliency initiatives
• Participate in Agile ceremonies and sprint planning
• Document metadata, data lineage, and technical specifications
• Ensure compliance with enterprise data governance standards

Technical Environment

Data Platforms

• Snowflake
• DBT
• IBM DataStage

Databases

• SQL
• Relational Databases
• NoSQL
• MongoDB

Big Data

• Hadoop

Programming

• Java
• J2EE

Methodologies

• Agile / SAFe
• CI/CD
• Git
• DevOps

This role focuses on building scalable data pipelines, developing and optimizing Snowflake data warehouse solutions, creating DBT models, and modernizing enterprise ETL environments using IBM DataStage.

The ideal candidate has strong cloud data engineering expertise, experience integrating legacy ETL platforms into modern architectures, and a passion for improving data quality, performance, and governance.

Candidates with Banking, Financial Services, or Mortgage Lending experience are highly preferred., * Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)

• 5+ years of Data Engineering experience
• 4+ years of Snowflake experience
• Strong DBT experience
• IBM DataStage experience
• Advanced SQL development skills
• Enterprise data modeling experience
• Experience building scalable ETL pipelines
• Strong analytical and troubleshooting skills
• Excellent communication skills
• Ability to work independently, The ideal candidate will have:
• Deep expertise in Snowflake
• Strong DBT development experience
• Modern cloud data engineering experience
• Enterprise ETL development expertise
• Legacy modernization experience
• Data warehouse architecture knowledge
• SQL performance tuning skills
• Banking or Financial Services experience
• Strong communication and collaboration skills, Data Engineering
• Snowflake (4+ years)
• Data Engineering
• Data Pipeline Development
• ETL Development
• Data Integration
• Data Modeling
• Data Warehouse Design
• Business Intelligence & Data Warehousing
• Performance Optimization
• Data Quality
• SQL Development
• Relational Databases

ETL & Cloud

• DBT (Data Build Tool)
• IBM DataStage
• Enterprise Data Warehousing
• Cloud Data Engineering

Preferred Skills

• Java
• J2EE
• NoSQL Databases
• Hadoop
• MongoDB
• Cloud Data Platforms
• Data Governance
• Metadata Management
• CI/CD
• Git
• DevOps Concepts

Preferred Industry Experience

• Banking
• Financial Services
• Mortgage Lending
• HELOC
• Encompass
• Regulatory Reporting

Nice-to-Have Skills

• SAFe Agile
• Mortgage Servicing
• Consumer Lending
• Enterprise Reporting
• Data Governance Frameworks
• Cloud Modernization Projects