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Remote Data Warehouse Jobs in California (NOW HIRING)

Recruit Monitor

Remote Data Analyst

San Jose, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Recruit Monitor

Remote Data Analyst

Long Beach, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

LMI

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

This is a largely remote position; however, candidates must reside in the vicinity of San Diego, CA ... warehouse modeling and performance, data quality, data cataloging, data agreements management ...

LMI

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

This is a largely remote position; however, candidates must reside in the vicinity of San Diego, CA ... warehouse modeling and performance, data quality, data cataloging, data agreements management ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Design, implement, and support a SQL based data warehouse * Ensure reliability and accuracy of data ...

Worldmarket

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

This is a fully remote position, with responsibilities that require strong communication skills and ... Hands-on experience with Kimball data warehouse modeling methodologies, alongside strong data ...

Catasys Health

Data Architect- REMOTE

Santa Monica, CA · Remote

$71.50 - $92/hr

Experience with data warehouse implementations * Data visualization experience Additional Information All your information will be kept confidential according to EEO guidelines.

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How much do remote data warehouse jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote data warehouse in California is $49.92, according to ZipRecruiter salary data. Most workers in this role earn between $37.66 and $61.20 per hour, depending on experience, location, and employer.

What is a remote data warehouse?

A Remote Data Warehouse job involves designing, managing, and optimizing large-scale data storage systems for businesses, all while working remotely. Professionals in this role develop ETL processes, ensure data integrity, and enhance performance for analytics and reporting. They collaborate with data engineers, analysts, and business teams using cloud-based or on-premises solutions. Strong SQL, cloud computing, and data modeling skills are essential for success in this role.

What does a typical workday look like for someone in a remote data warehouse position?

A typical day in a Remote Data Warehouse role involves designing and maintaining data pipelines, troubleshooting data quality issues, writing and optimizing complex SQL queries, and collaborating with data analysts, engineers, and business stakeholders through virtual meetings. You may spend time automating ETL processes, documenting data architecture, and ensuring performance and security of large datasets. Communication and project management occur primarily through digital tools like Slack, Jira, or Trello. This remote structure provides flexibility while requiring strong self-management and proactive communication to succeed in a globally distributed environment.

What are the key skills and qualifications needed to thrive in the remote data warehouse position?

To excel in a Remote Data Warehouse role, you need strong expertise in data modeling, ETL (Extract, Transform, Load) processes, and proficiency with database management systems such as SQL, Snowflake, or Amazon Redshift, typically supported by a relevant degree in computer science or information systems. Experience with cloud data platforms, data integration tools, and certifications like AWS Certified Data Analytics or Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are essential, especially when collaborating across distributed teams. These competencies ensure efficient data management, enable seamless remote collaboration, and drive successful data-driven decision-making for organizations.

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

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

What are popular job titles related to Remote Data Warehouse jobs in California?

For Remote Data Warehouse jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Data Warehouse jobs in California look for?

The top searched job categories for Remote Data Warehouse jobs in California are:

What cities in California are hiring for Remote Data Warehouse jobs?

Cities in California with the most Remote Data Warehouse job openings:

Remote Data Warehouse jobs near you
Infographic showing various Remote Data Warehouse job openings in California as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $103,825 per year, or $49.9 per hour.

Staff Software Engineer, Data Warehouse Foundation

Palo Alto, CA • On-site, Remote

Pinterest
Internet and IT • 1 - 5K employees
Learn more about Pinterestexternal

Full-time

Posted 6 days ago

Job description

The Data Product Platform is mission-critical to accelerate data-driven decision-making at Pinterest on the foundation of 100s of thousands of tables and an exadata-scale data warehouse. We strive to provide effortless, efficient, and reliable data products and platforms that power the entire company. We achieve this by investing in two core areas:

  1. Data Warehouse: Building and managing the foundational data warehouses that enable key analyses across both our core engagement and monetization products.
  2. Analytical Velocity: Creating agentic analytical tools that empower internal data users to leverage our vast data assets and capable infrastructure effectively.

We are seeking a Staff Software Engineer to provide technical leadership and contribute to the development of solutions across both these pillars. In this role, you will shape the vision and drive the execution of the solutions that handle increasing data volume, navigate business complexity, accelerate analytical velocity, and build the foundation for our next generation of agentic analytics products. If you are passionate about building world-class data ecosystems at massive scale, we invite you to come build with us!

What you'll do: 

  • Define and design Pinterest's data warehouse architecture, storage, and access patterns.
  • Lead ambiguous, highly challenging, and cross-functional initiatives across the data warehouse and agentic data analytics domains.
  • Mentor and elevate the technical bar for engineers, providing leadership on complex technical design, execution strategies, and critical trade-off decisions.
  • Collaborate with stakeholders across Product, Data Science, and Engineering teams to understand user needs, drive alignment and drive progress.

What we're looking for:

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 8+ years of relevant industry experience with large scale data warehouses, data tools and platforms. 
  • 5+ years experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, etc.
  • Ability to work with cross-functional partners across multiple organizations.
  • Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc.
  • Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics and engineering productivity.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country.


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