Data Warehouse Engineer
Company websitecadence.com (Cadence Design Systems, opens in new tab)
Base salary $101,500 to $188,500
Employer-published annual base salary, USD. Advertised base range in San Jose, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Jose, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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.
We’re doing work that matters. Help us solve what others can’t.
Source: Cadence Design Systems on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($101,500) is above 1% of the 1,731 Data & ML roles in California listed on this site. Their median floor is $184,000; the middle half runs from $154,300 to $224,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingData Warehouse Engineer$101,500 to $188,500
Sr Account Executive II$248K to $372K
Chart as a table
| Role | Published base |
|---|---|
| Data Warehouse Engineer (this listing) | $101,500 - $188,500 |
| Sr Account Executive II | $248K - $372K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-05-06
Where this pay comes from
Location as the employer wrote it: SAN JOSE
The annual salary range for California is $101,500-$188,500. You may also be eligible to receive incentive compensation
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.