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Data Warehousing Jobs in Riverside, CA (NOW HIRING)

EMCOR Mechanical Services, Inc.

Data Engineer

Irvine, CA · On-site

$115K - $145K/yr

Knowledge of data warehousing concepts and tools. * Familiarity with workflow orchestration tools (Airflow, Luigi). * Strong understanding of data governance and security principles. Physical Demands ...

EMCOR Mechanical Services, Inc.

Data Engineer

Irvine, CA

$115K - $145K/yr

Knowledge of data warehousing concepts and tools. * Familiarity with workflow orchestration tools (Airflow, Luigi). * Strong understanding of data governance and security principles. Physical Demands ...

Hyundai Capital

Sr. Data Warehouse Architect

Irvine, CA · On-site

$132K - $204K/yr

What You Will Do 1. Enterprise Data Architecture Strategy and Design • Define and evolve enterprise data architecture, target-state designs, and integration patterns across warehouse, lakehouse ...

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All JobsData Warehousing JobsData Warehousing Jobs in Riverside, CA

Data Warehousing information

See Riverside, CA salary details

$10

$49

$85

How much do data warehousing jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data warehousing in Riverside, CA is $49.66, according to ZipRecruiter salary data. Most workers in this role earn between $32.99 and $65.25 per hour, depending on experience, location, and employer.

What is data warehousing?

Data warehousing is the process of collecting, storing, and managing large volumes of data from different sources in a central repository, called a data warehouse. This centralized storage allows organizations to analyze historical data, generate reports, and make informed business decisions. Data warehouses are optimized for query and analysis rather than transaction processing, and they often use specialized tools and technologies to ensure data is consistent, reliable, and easily accessible for business intelligence purposes.

What are the key skills and qualifications needed to thrive as a Data Warehousing professional, and why are they important?

To thrive in Data Warehousing, you need expertise in data modeling, SQL, ETL processes, and a solid background in computer science or information systems. Familiarity with data warehouse platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as ETL tools such as Informatica or Talend, and relevant certifications are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals collaborate and deliver actionable insights. These competencies are crucial for ensuring data integrity, optimizing storage solutions, and supporting informed business decisions.

What skills are needed for data warehousing?

Data warehousing professionals need strong skills in database management, SQL, and data modeling. Knowledge of ETL (Extract, Transform, Load) processes, data integration tools, and familiarity with cloud platforms like AWS or Azure are also important. Additionally, analytical skills and understanding of business intelligence concepts enhance effectiveness in this role.

What is the difference between Data Warehousing vs Data Analyst?

AspectData WarehousingData Analyst
Primary RoleDesigning, building, and managing data storage systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, database management, data modelingSQL, data visualization, statistical analysis, Excel
Work EnvironmentData warehouses, database servers, cloud platformsBusiness units, reporting tools, dashboards
Industry UsageIT, data engineering, business intelligenceMarketing, finance, operations, business analysis

While Data Warehousing focuses on creating and maintaining data storage systems, Data Analysts utilize these systems to interpret data and support decision-making. Both roles often collaborate but serve different functions within data management and analysis processes.

What does a data warehouse do?

A data warehousing professional manages the design, development, and maintenance of data warehouses, which are centralized systems that store large volumes of integrated data from multiple sources. Their role involves data modeling, ETL (extract, transform, load) processes, and ensuring data quality to support business intelligence and analytics. Skills in SQL, data modeling, and tools like Tableau or Power BI are often essential in this field.

What are data warehouse jobs?

Data warehouse jobs involve designing, developing, and maintaining data storage systems that aggregate and organize large volumes of data for analysis and reporting. These roles typically require skills in SQL, data modeling, ETL processes, and familiarity with tools like Amazon Redshift, Snowflake, or Microsoft SQL Server. Professionals in this field support business intelligence and decision-making processes by ensuring data accuracy and accessibility.

What are the typical challenges faced by professionals in data warehousing roles when integrating data from multiple sources?

Professionals in data warehousing often face challenges such as ensuring data consistency and quality when integrating data from various sources, which may use different formats and standards. Other common hurdles include handling large volumes of data efficiently, maintaining data security and compliance, and managing the complexity of ETL (Extract, Transform, Load) processes. Collaboration with business analysts, IT teams, and data engineers is essential to accurately define requirements and troubleshoot integration issues. Successfully navigating these challenges requires strong problem-solving skills and a solid understanding of both business needs and technical solutions.

What is the highest paying job in a warehouse?

In data warehousing, the highest paying roles are typically senior data architects or data engineering managers, who oversee data infrastructure and strategy. These positions often require advanced skills in database systems, cloud platforms, and data modeling, and they can command salaries significantly higher than entry-level or operational roles.
What are popular job titles related to Data Warehousing jobs in Riverside, CA? For Data Warehousing jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Warehousing jobs in Riverside, CA look for? The top searched job categories for Data Warehousing jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Warehousing jobs? Cities near Riverside, CA with the most Data Warehousing job openings:
Data Warehousing jobs near you

Sr Data Engineer with Teradata & Snowflake

Nexwave

Anaheim, CA • Remote

$65/hr

Other

Posted yesterday

Job description

Job Title : Sr Data Engineer with Teradata & Snowflake

Location : Remote ( Bay Area , CA )

Exp Req : 10-15 Yrs (Max)


Visa : USC/GC/GC EAD/H4 EAD - No H1B

Rate : $65/Hr on C2C/1099 (max)


Job Summary

We are seeking an experienced Data Engineer with strong expertise in Teradata and Snowflake to design, develop, and optimize enterprise data platforms. The ideal candidate will have experience building scalable data pipelines, data warehousing solutions, cloud-based data architectures, and ETL/ELT processes to support business intelligence and analytics initiatives.


Key Responsibilities

  • Design, develop, and maintain robust data pipelines and data integration solutions.
  • Migrate and modernize legacy Teradata data warehouse environments to Snowflake.
  • Develop and optimize ETL/ELT processes using industry-standard tools and frameworks.
  • Create and maintain Snowflake data models, schemas, tables, views, and stored procedures.
  • Write complex SQL queries for data extraction, transformation, validation, and performance tuning.
  • Implement data quality, governance, security, and compliance standards.
  • Collaborate with business stakeholders, data analysts, architects, and application teams to gather requirements and deliver solutions.
  • Monitor and troubleshoot data pipeline failures and performance issues.
  • Optimize Snowflake compute and storage utilization to improve efficiency and control costs.
  • Support reporting, analytics, and machine learning initiatives by providing reliable data solutions.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
  • Strong hands-on experience with Teradata Data Warehouse development.
  • Strong experience with Snowflake Data Cloud.
  • Advanced SQL development and query optimization skills.
  • Experience designing and implementing ETL/ELT processes.
  • Experience with data modeling, dimensional modeling, and data warehousing concepts.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Experience with scripting languages such as Python, Shell, or PowerShell.
  • Experience with version control tools such as Git.

Preferred Qualifications

  • Experience in Teradata-to-Snowflake migration projects.
  • Experience with orchestration tools such as Apache Airflow, Control-M, or Autosys.
  • Experience with Informatica, Talend, DataStage, Matillion, or similar ETL tools.
  • Knowledge of CI/CD and DevOps practices.
  • Snowflake certification is a plus.
  • Experience with Agile/Scrum methodologies.


Stephen

Lead Talent Acquisition Specialist

Email : stephen@nexwaveinc.com

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