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Data Warehouse Bi Developer Jobs in California (NOW HIRING)

Jobsbridge

SQL BI Developer

Burbank, CA · On-site

... . Comprehensive data warehouse analysis and design experience, with full knowledge of data ... Qualifications Programming, Research, Security, SQL, SQL Server, Testing Additional Information ...

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Data Warehouse Bi Developer information

What is a data warehouse BI developer?

Data Warehouse BI Developers are IT professionals who design, develop, and maintain data warehouse systems to support business intelligence (BI) solutions. They help organizations collect, store, and analyze large volumes of data by building efficient data models, writing ETL (Extract, Transform, Load) processes, and creating dashboards and reports. Their work enables businesses to make data-driven decisions by providing accessible and reliable insights from complex data sources. Typically, they work closely with data analysts, database administrators, and business stakeholders to ensure data quality and meet organizational reporting needs.

What are the key skills and qualifications needed to thrive as a data warehouse BI developer?

To thrive as a Data Warehouse BI Developer, you need strong expertise in data modeling, ETL processes, SQL, and experience with data warehousing concepts, typically supported by a degree in computer science or a related field. Familiarity with BI tools (such as Power BI, Tableau, or SSRS), ETL platforms (like Informatica or SSIS), and relevant certifications are highly valued. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating business requirements into technical solutions. These skills and qualities are essential for building reliable data systems that support insightful business decision-making.

What are the most common challenges faced by data warehouse BI developers when integrating data from multiple sources?

Data Warehouse BI Developers often encounter challenges related to data consistency, quality, and format when integrating data from various sources such as databases, APIs, and flat files. Ensuring that data from disparate systems aligns correctly—especially with differences in data structures, naming conventions, and update frequencies—can be complex. Addressing issues like duplicate records, missing values, and data latency requires strong ETL (Extract, Transform, Load) skills and close collaboration with data owners and business analysts. These challenges make attention to detail and problem-solving abilities crucial for success in this role.

What is the difference between Data Warehouse Bi Developer vs Data Analyst?

AspectData Warehouse Bi DeveloperData Analyst
Required SkillsSQL, ETL, BI tools, data modelingSQL, data visualization, statistical analysis
Work EnvironmentData warehousing projects, database developmentData interpretation, reporting, dashboards
CertificationsETL, BI tools certifications, SQL certificationsData analysis, visualization certifications
Industry UsageBusiness intelligence, data warehousing teamsBusiness analysis, reporting teams

While both roles work with data, Data Warehouse Bi Developers focus on building and maintaining data warehouses and BI infrastructure, whereas Data Analysts interpret data and create reports for decision-making. Understanding these differences helps in choosing the right career path or job focus.

What cities in California are hiring for Data Warehouse Bi Developer jobs?

Cities in California with the most Data Warehouse Bi Developer job openings:

Infographic showing various Data Warehouse Bi Developer 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.

Lead Data/BI Developer

Sacramento, CA • On-site

MOONITSolutions Inc.
11 - 50 employees
Learn more about MOONITSolutions Inc.external

Other

Posted 16 days ago

Job description

Title: Lead Data/BI Developer
Location: Sacramento, CA (Hybrid )
Duration/Type: Contract

Mandatory Qualifications:

  • At least ten (10) years of experience in data/BI engineering or analytics.
  • At least five (5) years of experience in leading a team (at least 3 members) to implement enterprise-level BI and/or large data warehouse solutions.
  • At least five (5) years of experience working with AI/ML or GenAI technologies.
  • At least two (2) proven deliveries of production-grade BI or data products (dashboards, data models, APIs).
  • At least two (2) years of experience with ETL/ELT pipelines, data warehousing platforms such as Snowflake, Amazon Redshift, and orchestration tools (Airflow, dbt, etc.).
  • At least two (2) years of experience using OpenAI APIs or similar LLM platforms, building natural language to SQL/query systems, designing prompt strategies for business insights and analytics, and prompt engineering to guide the platform''s system behavior.
  • At least two (2) years of experience in SQL (advanced joins, window functions, performance tuning), data modeling (star/snowflake schemas, semantic layers), and hands-on experience with at least one major BI tool such as Power BI, Tableau, Looker.
  • At least two (2) years of experience leading a team of analysts and developers, as well as collaborating with stakeholders, to discover, document, and implement requirements and stakeholder requests for data warehouse or business intelligence projects.

Preferred Qualifications:

  • Holding technical certifications in the areas of:

• AWS certifications

• Snowflake certifications

• BI certifications (Power BI, Tableau)

• AI/ML or GenAI-related coursework or credentials

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