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Data Warehousing Engineer Jobs in California (NOW HIRING)

Cadence

Data Warehouse Engineer

San Jose, CA · On-site

... Warehouse Engineer to develop solutions that meet business requirements. The role involves ... Experience with data modeling, data warehousing, and ETL (Extract, Transform, Load) processes • ...

Maverick Payments

Data Warehouse Engineer

Calabasas, CA · On-site +1

$110K - $125K/yr

Qualifications: * 5-8 years in Data Engineering/Data Warehousing or closely related technical roles. * Advanced SQL/T-SQL: complex queries, stored procedures, views, indexing, and performance tuning.

Fox

Data Warehousing Specialist

Los Angeles, CA · On-site +1

$183K - $202K/yr

As part of the Data Platforms team, Fox Cable Network Services, LLC seeks a Data Warehousing Specialist (Senior Data Engineer) to play an essential role in building robust, scalable, efficient and ...

SonSoft Inc.

Teradata, Data Warehousing

Sunnyvale, CA · On-site

At least 4+ years of programming experience in the same. • Should have hands-on knowledge in ... Required : • At least 4+ years of experience in Data Warehousing with strong ETL knowledge • ...

Sonsoft Inc

Teradata, Data Warehousing

Sunnyvale, CA · On-site

At least 4+ years of experience in Data Warehousing with strong ETL knowledge * Strong knowledge of ... At least 4+ years of programming experience in the same. * Should have hands-on knowledge in Shell ...

Info Way Solutions

Role : Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

The role involves data modeling, data warehousing, and building ETL pipelines, requiring extensive experience in data engineering and related technologies. Responsibilities : • Experience with data ...

Quantix

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Data Platform Engineer Location: San Francisco, CA Type: Direct Hire Our client in the San ... This position will be responsible for dimensional modeling, data warehousing, utilizing the Django ...

DPP Tech, Inc.

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Expertise in BigQuery for data warehousing and analytics. * Experience developing and maintaining ... Python for data engineering and automation. * Experience with Cloud Composer, Cloud Storage, Pub ...

Quantix

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking a Data Platform Engineer to join a motivated start-up focused on delivering health ... Responsibilities : • This position will be responsible for dimensional modeling, data warehousing ...

Jobsbridge

Lead Hadoop Developer

San Jose, CA · On-site

Company Description Jobsbridge Skill DataStage, Data Warehouse, Developer, Development, Hadoop, Informatica, Project, Scripts, SQL Location San Jose, CA Total Experience 8 yrs. Max Salary $ DOE Per ...

Cypress HCM

Data Engineer

Mountain View, CA

$70 - $95/hr

Looking for world class server software engineers with Big Data Infrastructure and Data warehousing experience to join our technology innovation group focused on the rapid development of AI driven ...

Aveva

Data Engineer

San Leandro, CA · Hybrid

$89K - $148K/yr

Data Engineer Location: San Leandro, California* Work Arrangement: Hybrid (2-3 days per week in ... Develop and maintain data models and data warehousing solutions that support enterprise reporting ...

AVEVA

Data Engineer

San Leandro, CA · On-site

$89K - $148K/yr

Data Engineer Location: San Leandro, California* Work Arrangement: Hybrid (2-3 days per week in ... Develop and maintain data models and data warehousing solutions that support enterprise reporting ...

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All JobsData Warehousing Engineer JobsData Warehousing Engineer Jobs in California

Data Warehousing Engineer information

See California salary details

$85.4K

$124.8K

$158.4K

How much do data warehousing engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data warehousing engineer in California is $124,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $134,700.00 per year, depending on experience, location, and employer.

What is a data warehousing engineer?

A Data Warehousing Engineer is responsible for designing, developing, and maintaining data warehouses that store and manage large volumes of structured data. They work with ETL (Extract, Transform, Load) processes to extract data from various sources, transform it into a usable format, and load it into the data warehouse. They also optimize database performance, ensure data integrity, and support business intelligence and analytics teams by providing efficient access to data. The role requires expertise in database management, SQL, ETL tools, and cloud data warehouse solutions.

What does a data warehousing engineer do?

A data warehousing engineer designs, develops, and maintains data storage systems that integrate and organize large volumes of data from various sources. They work with tools like SQL, ETL processes, and data modeling to ensure data is accessible, accurate, and optimized for analysis and reporting. This role often requires knowledge of database technologies, scripting, and data architecture best practices.

What are the typical daily responsibilities of a data warehousing engineer?

As a Data Warehousing Engineer, your day often involves designing, building, and maintaining data warehouses, as well as developing ETL (extract, transform, load) processes to consolidate data from multiple sources. You'll routinely write and optimize SQL queries, monitor data quality, and troubleshoot issues to ensure smooth data flows. Collaboration with data scientists, analysts, and business stakeholders is common, as you'll help translate business needs into technical data solutions. Additionally, you may work on performance tuning, implementing data security measures, and helping to plan for future data infrastructure upgrades.

What are the key skills and qualifications needed to thrive in a data warehousing engineer position?

To thrive as a Data Warehousing Engineer, you need strong expertise in database design, ETL processes, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools like Informatica, Snowflake, or AWS Redshift, and certifications such as Google Cloud Data Engineer or Microsoft Azure Data Engineer, are frequently sought by employers. Analytical thinking, attention to detail, and effective communication are valuable soft skills in this role. These qualities are important for designing efficient data systems, troubleshooting complex data issues, and collaborating with cross-functional teams to ensure accurate and accessible data for decision-making.

What are popular job titles related to Data Warehousing Engineer jobs in CA? For Data Warehousing Engineer jobs in CA, the most frequently searched job titles are:
Data Warehousing Engineer jobs near you
Infographic showing various Data Warehousing Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,843 per year, or $60 per hour.

Data Warehouse Engineer

Cadence Design Systems, Inc.

San Jose, CA • On-site

$101K - $188K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
A hardworking, highly motivated Data warehouse engineer and should have collaboration skills, ability to work across multiple domains and software disciplines to achieve results. This is an experienced and hands-on Data Warehouse developer position that requires research, analysis, design, and development of solutions per our business requirements.
To work closely with business users, collect business requirements, prepare design documents, develop ETL logic and validation scripts to ensure 100% data accuracy, design security control, and deploy and monitor solutions in
production.
Role: Data Warehouse Engineer
Location: San Jose, CA (onsite position)
Key Responsibilities
• Data Modelling - Designing and developing data models to efficiently store and retrieve information.
• ETL Development - Creating and optimizing ETL processes to extract, transform, and load data from various sources ensuring data consistency and quality
• Design, implement and maintain Data Pipelines using ADF
• Database Design and Implementation: Designing and implementing relational and multidimensional database structures within the data warehouse.
• SQL Query Development: Writing efficient SQL queries, stored procedures, and functions to extract, manipulate, and analyze data.
• Database/ Performance Optimization: Optimizing database performance through indexing, query tuning, and other optimization techniques.
• Data Management: Ensuring data integrity, security, and consistency across multiple environments.
• Troubleshooting and Problem Solving: Troubleshooting and resolving Datawarehouse-related issues and errors.
• Reporting and Analysis: Developing and providing reports and dashboards based on data warehouse data.
Skills and Qualifications:
• 7+ years of experience in DW/BI space in both designing the model and building analytics. At least executed two end-to-end implementations. At least worked for min. 2 year in Azure SQL and ADF
• SQL / Relational Database Proficiency: Strong knowledge of SQL syntax, database design principles, and SQL Server, Oracle or other database systems.
• Data Management: Experience with data modeling, data warehousing, and ETL (Extract, Transform, Load) processes
• Proficient in Infor Omni-Channel Campaign Management- Enterprise Marketing Suite - creating jobs, ETL process in Infor Admin, setting up jobs, creation of reports, creating/updating users and Groups
• Preferred Understanding of IBM WAS (Web Application server) - node agents, manager, applications
• Strong understanding of Azure Data Factory: Expert-level knowledge of Azure Data Factory's features, capabilities, and best practices.
• Master in Azure SQL stack architecture (SQL Server, SQL Warehouse and Azure Data factory)
• Understanding of data analysis principles and reporting techniques.
• Preferred knowledge of python, Pentaho, or shell scripting
• Problem-solving and Analytical Skills: Ability to identify and resolve data warehouse issues and analyze complex data sets.
• Communication Skills: Ability to communicate technical concepts to both technical and non-technical audiences.
• Functional knowledge of common business processes like quote to cash, clickstream analysis, revenue, booking, billing, etc. is desirable.
Education: Bachelor's degree in computer science, a related field or equivalent experience.
The annual salary range for California is $101,500-$188,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.
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