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Data Warehousing Jobs in California (NOW HIRING)

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 ...

They are seeking a candidate with strong experience in Data Warehousing and Teradata, who can engage in senior-level technology discussions and mentor junior developers. Responsibilities : • At ...

At least 4+ years of experience in Data Warehousing with strong ETL knowledge * Strong knowledge of Teradata with data modeling and good knowledge on Sql/PLSql. At least 4+ years of programming ...

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 ...

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 ...

Data Architect

San Ramon, CA

$71.25 - $91.75/hr

Qualifications Data warehousing and Big Data, Oracle, PL/ SQL, Informatica, XML, MQ Additional Information Multiple Openings

Database/Data Warehousing: Relational databases, data warehousing concepts, joins, data models and working with large datasets. * Python: Python development with Generative AI, LLM integrations and ...

Tableau developer

Sunnyvale, CA · On-site

$105K - $115K/yr

Database/Data Warehousing: Relational databases, data warehousing concepts, joins, data models and working with large datasets. * Python: Python development with Generative AI, LLM integrations and ...

New

Database/Data Warehousing: Relational databases, data warehousing concepts, joins, data models and working with large datasets. * Python: Python development with Generative AI, LLM integrations and ...

New

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

This position will be responsible for dimensional modeling, data warehousing, utilizing the Django/Python framework. This position will bring technical design and development expertise, but will not ...

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Responsibilities : • This position will be responsible for dimensional modeling, data warehousing, utilizing the Django/Python framework. • This position will bring technical design and ...

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Data Warehousing information

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?

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 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 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.

Is data warehousing a good career?

Data warehousing is a viable career option for those interested in managing large datasets, designing data models, and working with tools like SQL, ETL processes, and cloud platforms. It offers opportunities in industries such as finance, healthcare, and technology, with demand for skills in data integration and analytics growing steadily.

What are the most commonly searched types of Data Warehousing jobs in California?

The most popular types of Data Warehousing jobs in California are:

What cities in California are hiring for Data Warehousing jobs?

Cities in California with the most Data Warehousing job openings:

Infographic showing various Data Warehousing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Warehousing Specialist

Los Angeles, CA • On-site


FOX News Network, LLC
Technology, Communication and Media • 1 - 5K employees

7.3

Company rating: 7.3 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

42nd of 78 rated media

People enjoy working here

Good employer

Respectful managers


$183K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

OVERVIEW OF THE COMPANY
Fox Corporation
Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.
JOB DESCRIPTION
Job Duties:
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 high-quality Data Engineering solutions using the latest tech stack in a fast-paced environment. Specific duties include: 1) Collaborate with and across Agile teams to design and develop data engineering solutions. 2) Build distributed, low latency, reliable data pipelines ensuring high availability and timely delivery of data. 3) Design and develop highly optimized data engineering solutions for Big Data workloads to efficiently handle continuous increase in data volume and complexity. 4) Build highly performing real-time data ingestion solutions for streaming workloads. 5) Adhere to best practices and agreed upon design patterns across all Data Engineering solutions. 6) Ensure the code is elegantly designed, efficiently coded and effectively tuned for performance. 7) Focus on data quality and consistency, implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. 8) Create design (Data Flow Diagrams, Technical Design Specs, Source to Target Mapping documents) and test (unit/integration tests) documentation. 9) Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. 10) Focus on end-to-end automation of data engineering pipelines and data validations (audit, balance controls) without any manual intervention. 11) Focus on data security and privacy by implementing proper access controls, key management and encryption techniques. 12) Take a proactive approach in learning new technologies, stay on top of tech trends, experimenting with new tools and technologies and educate other team members. 13) Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. 14) Communicate clearly and effectively to technical and non-technical leadership. Telecommuting is permitted up to 25%/week within normal commuting distance of Fox office in Los Angeles, CA.
Job Requirements:
Requires a Bachelor's degree in Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, Engineering or related field, plus five (5) years of progressive, post-baccalaureate data engineering experience or related experience in architecting, designing and building data engineering solutions and data platforms, including experience building data engineering pipelines using Python and PySpark; and building Lakehouse or batch/streaming data pipelines in Databricks.
*Specific skills: Also requires experience in the following: 1) Data warehousing on Snowflake; 2) Data acquisition and transformation tools such as Fivetran and dbt; 3) Real-time data stream processing using Apache Kafka, Kinesis, or Spark structured streaming; 4) Distributed data processing frameworks such as Apache Hadoop, Apache Spark, or Flink; 5) Automated workflow scheduling and orchestration tools such as Astronomer or Apache Airflow; and 6) Various AWS services including S3, EC2, EMR, Lambda, RDS, Redshift, and Glue Catalog
*Any level of experience in the specific skills is acceptable.
Telecommuting is permitted up to 25%/week within normal commuting distance of Fox office in Los Angeles, CA.
#LI-DNi
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $183,851.00-202,236.00 annually. This role is also eligible for various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.
View more detail about FOX Benefits.


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