Data Engineer III at Hudson Manpower — Cincinnati, OH

Position Overview

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

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.

Location: Cincinnati, OH Work Arrangement: Onsite (Business Requirements) Employment Type: W2 – Full-Time Duration: 6-Month Initial Contract (Extension Likely) Work Authorization: USC/GC/H4 only Experience Required: 5+ Years

Key Responsibilities

• 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

Required Qualifications

• 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

Ideal Candidate

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