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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 ...

Lancesoft

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote About the Role Tech is seeking an ... Warehouse Management (WMS) domains. The ideal candidate is a hands-on technical leader with deep ...

New

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 ...

World Market

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 ...

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Remote Data Warehouse information

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$10

$49

$80

How much do remote data warehouse jobs pay per hour?

As of Jul 31, 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 job?

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, and why are they important?

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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,825 per year, or $49.9 per hour.

Remote Data Analyst

Recruit Monitor

San Jose, CA • Remote

Full-time

Posted 24 days ago

Job description

This position plays a supporting role in the modernization and transformation of the Annuity/Retirement Plan Services Valuation & Modeling team with new technology solutions. 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 provides a broad range of experiences and responsibilities, allowing for growth.What you'll be doing:

  • Supports and promotes change management and/or departmental/enterprise initiatives within assigned area(s) of responsibility.
  • Maintains knowledge on current and emerging developments/trends for assigned area(s) of responsibility.
  • Performs and delivers on routine assignments/projects for their assigned area(s) of responsibility.
  • Exports information from various applications/databases and uses analytical tools (i.e. SQL, MS Power BI, Tableau, Excel, etc.) to transform that data into meaningful reports and infographics.
  • Performs routine data mining, validation, and reconciliation of data across various applications.
  • Identifies and analyzes variances, and trends; researches inconsistencies/anomalies in the data and presents findings to management.
  • Develops creative charts, graphs and other visual aids in support of identifying trends to quantify performance of the business segment and to support decision making.
  • Performs what-if analysis in support of creating proposals for change and process improvement.
  • Develops queries and prepares data for diagnostic and predictive analytics.
  • Develops basic ad-hoc reports supporting projects and analysis.
  • Supports team members and/or management in developing basic recommendations to solve problem and issues related to identified trends and data insights.
  • Develops an understanding of best practices and suggests how to improve current practices

What we're looking for:Must haves:

  • 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of Bachelor's) (Minimum Required)
  • 0 - 1+ Years of experience in analytics that directly aligns with the specific responsibilities for this position (Required)

Nice-to-haves:

  • Demonstrated solid relationship management skills with internal clients (e.g. management, peers and colleagues).
  • Demonstrated ability to query and report off of SQL databases.
  • Experience with:
    • Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark
    • Coding with SQL, Hive, Python/R, SAS, VBA, etc.
  • Demonstrates excellent organizational skills with the ability to prioritize workload and multi-task while maintaining strict attention to detail.
  • Demonstrates strong interpersonal skills with a collaborative style.
  • Demonstrates the ability to use sound judgment and discretion regarding confidential information.
  • Finds common ground and can gain collaboration among management, colleagues and peers.

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