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Cloud Data Warehouse Jobs (NOW HIRING)

Hudson Manpower

Data Engineer III

Cincinnati, OH · On-site

$50 - $54/hr

Modern cloud data engineering experience * Enterprise ETL development expertise * Legacy modernization experience * Data warehouse architecture knowledge * SQL performance tuning skills * Banking or ...

University of Rochester

$86K - $130K/yr

The Senior Data Warehouse Developer's responsibilities include architecting, designing, developing ... Architects data integration and transformation processes across on premise and cloud data sources.

Stellent IT LLC

Cloud Data Engineer

Nottingham, MD · On-site

$116K - $139K/yr

USC only Design, develop, enhance, and integrate an enterprise data warehouse and support AWS cloud infrastructure. Complete projects, prioritize tasks, and provide frequent progress reports with ...

University of Rochester

Sr Data Warehouse Developer

$86K - $130K/yr

The Senior Data Warehouse Developer's responsibilities include architecting, designing, developing ... Architects data integration and transformation processes across on premise and cloud data sources.

GDIT

Cloud Data Architect - Data Modeler

WV · On-site +1

Skills: Data Analytics, Data Warehousing (DW), Enterprise Data, Relational Data Modeling ... The Cloud Data Architect - Data Modeler will work as part of the CMM Data Modernization and ...

MDAEdge

Data Warehouse Analyst

Tallahassee, FL · On-site

... Cloud (IDMC) and Informatica on-prem solutions (4+ years). • Experience with data warehouse and data mart concepts. • Experience with model transactional data for data warehousing. • Experience ...

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade ...

Inteliblue

Data Warehouse Analyst

Tallahassee, FL · On-site

Data Warehouse Analyst Location: Tallahassee, FL Duration: Long Term Interview Type: In-person ... Extensive knowledge of and expert skill in use of Informatica PowerCenter Cloud Platform. Thanks ...

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Cloud Data Warehouse information

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How much do cloud data warehouse jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for cloud data warehouse in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.04 per hour, depending on experience, location, and employer.

Is data warehouse a good career?

A career as a cloud data warehouse professional involves working with data storage, management, and analysis using tools like Snowflake, Redshift, or BigQuery. It offers strong job growth, high demand for skills in SQL, ETL processes, and cloud platforms, and often provides competitive salaries. Continuous learning and certifications can enhance career prospects in this field.

What is the difference between Cloud Data Warehouse vs Data Engineer?

AspectCloud Data WarehouseData Engineer
Primary RoleDesigning, implementing, and managing cloud-based data storage solutionsBuilding, maintaining, and optimizing data pipelines and infrastructure
Required SkillsSQL, cloud platforms (AWS, GCP, Azure), data modelingSQL, programming (Python, Java), ETL tools, cloud services
Work EnvironmentCloud platforms, data storage systemsData pipelines, cloud infrastructure, coding environments
CertificationsCloud certifications (AWS, GCP, Azure)Data engineering certifications (Google Cloud Professional Data Engineer, AWS Data Analytics)

While both roles involve working with data in cloud environments, a Cloud Data Warehouse focuses on managing and optimizing cloud storage solutions, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that enable data analysis and reporting. They often collaborate but have distinct responsibilities within data ecosystems.

What are the key skills and qualifications needed to thrive as a cloud data warehouse engineer, and why are they important?

To thrive as a Cloud Data Warehouse Engineer, you need expertise in data modeling, SQL, cloud platforms (such as AWS, Azure, or Google Cloud), and ETL processes, typically supported by a degree in computer science or a related field. Familiarity with tools like Snowflake, Redshift, BigQuery, data integration platforms, and relevant certifications (e.g., AWS Certified Data Analytics) is often required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating with stakeholders and managing complex data solutions. These skills ensure the efficient design, implementation, and maintenance of scalable cloud data warehouses that support business intelligence and decision-making.

What is a cloud data warehouse?

A cloud data warehouse is a scalable storage and processing system hosted on cloud platforms that allows organizations to store, analyze, and manage large volumes of data. Data analysts and data engineers working in this environment often use tools like SQL and cloud services such as Amazon Redshift, Google BigQuery, or Snowflake to perform data integration and analytics tasks.

What are some common challenges faced by professionals working in cloud data warehouse roles, and how can they be addressed?

Professionals in Cloud Data Warehouse roles often encounter challenges such as integrating data from diverse sources, ensuring data security and compliance, and optimizing query performance as data volumes scale. Addressing these challenges typically involves collaborating with data engineering, security, and DevOps teams to design robust data pipelines, implement access controls, and monitor system performance. Staying current with evolving cloud technologies and best practices is essential for maintaining efficiency and reliability in these environments.
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Cloud Data Warehouse jobs near you
Infographic showing various Cloud Data Warehouse job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.

Data Engineer III

Hudson Manpower

Cincinnati, OH • On-site

$50 - $54/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

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

Required 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

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