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Azure Data Analyst Jobs in California (NOW HIRING)

GEI Consultants

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

GEI Consultants

Data Engineer

Rancho Cordova, CA

$90K - $150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

GEI Consultants

Data Engineer

Pasadena, CA

$90K - $150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Pwc

Data Engineer - Manager

Los Angeles, CA

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks ...

Pwc

Data Engineer - Manager

San Diego, CA

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks ...

TEKsystems

Cloud Data Architect

San Jose, CA

$60 - $80/hr

... Azure data platforms supporting analytics, AI, and business intelligence initiatives. This role combines architecture ownership with hands-on Databricks and Spark development in a highly visible ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Pwc

Data Engineer - Manager

Irvine, CA

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks ...

TEKsystems

Cloud Data Architect

San Jose, CA

$60 - $80/hr

... Azure data platforms supporting analytics, AI, and business intelligence initiatives. This role combines architecture ownership with hands-on Databricks and Spark development in a highly visible ...

Pwc

Data Engineer - Manager

Sacramento, CA

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks ...

Dlapiper

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads. Data Quality, Reliability & Operations * Identify, troubleshoot, and ...

Numentica LLC

Senior Databricks Data Engineer

Calabasas, CA · On-site

$120K - $145K/yr

Azure Data Services Key Responsibilities * Design and develop scalable batch and real-time data pipelines. * Build robust data ingestion, transformation, and analytics workflows. * Develop ...

Aveva

Data Engineer

San Leandro, CA · Hybrid

$89K - $148K/yr

Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics and related Azure services. * Build and support data integration and ETL/ELT processes to ingest, transform, and ...

AVEVA

Data Engineer

San Leandro, CA · On-site

$89K - $148K/yr

Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics and related Azure services. * Build and support data integration and ETL/ELT processes to ingest, transform, and ...

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All JobsAzure Data Analyst JobsAzure Data Analyst Jobs in California

Azure Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do azure data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for azure data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

How much do Azure Data Analysts make?

Azure Data Analysts typically earn a median salary ranging from $70,000 to $100,000 annually, depending on experience, location, and certifications such as Microsoft Certified Data Analyst Associate. Entry-level positions may start lower, while experienced analysts with advanced skills can earn higher salaries.

What are the typical daily responsibilities of an Azure Data Analyst?

Azure Data Analysts typically spend their days gathering, cleaning, and analyzing data from various sources using Azure-based tools like Azure Data Factory, Azure Synapse Analytics, and Power BI. They collaborate closely with data engineers, business analysts, and other stakeholders to translate business requirements into actionable datasets and informative reports. Daily tasks may include designing data models, preparing dashboards, monitoring data quality, and automating data processes within the Azure environment. This role often requires balancing technical analysis with effective communication to ensure insights are meaningful and tailored to business needs.

What are the key skills and qualifications needed to thrive as an Azure Data Analyst?

To excel as an Azure Data Analyst, you should have a solid background in data analysis, database management, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with Microsoft Azure data services (such as Azure Synapse Analytics, Azure Data Lake, and Power BI), as well as certifications like Microsoft Certified: Azure Data Fundamentals, are highly valued. Strong problem-solving, attention to detail, and effective communication make candidates stand out in this role. These competencies are vital for transforming raw data into actionable insights and supporting business decision-making in cloud-driven environments.

What is an Azure Data Analyst?

An Azure Data Analyst is responsible for analyzing and interpreting data using Microsoft Azure's cloud-based services and tools. They work with Azure Synapse Analytics, Power BI, and Azure Data Factory to process, transform, and visualize data for business insights. Their role involves data modeling, reporting, and ensuring data accuracy to support decision-making. They often collaborate with data engineers and business stakeholders to optimize data solutions. This role requires expertise in SQL, data warehousing, and cloud-based analytics solutions.

What are the most commonly searched types of Azure Data Analyst jobs in California? The most popular types of Azure Data Analyst jobs in California are:
What are popular job titles related to Azure Data Analyst jobs in California? For Azure Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Azure Data Analyst jobs in California look for? The top searched job categories for Azure Data Analyst jobs in California are:
What cities in California are hiring for Azure Data Analyst jobs? Cities in California with the most Azure Data Analyst job openings:
Azure Data Analyst jobs near you
Infographic showing various Azure Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Engineer

GEI Consultants

Rancho Cordova, CA • On-site

$122K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

275th of 446 rated engineering

Job description

Description
Your role at GEI.
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
Essential Responsibilities & Duties
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.

We are GEI.
Some of the world's most pressing problems - from climate change to sustainable development, to critical infrastructure and the future of our energy supply - need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients' most complex challenges.
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here .
Employee-owned. Employee-focused.
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client-Centered, Curious, Collaborative, and Community Minded - which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI's career site here .
GEI's Total Rewards Package Includes
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 - $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here )
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More...

PHYSICAL REQUIREMENTS
WORK ENVIRONMENT
Functional Demands:
Sedentary
x
Light
Medium
Other
Activity Level Throughout Workday (check one per row)
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
x
Standing
x
Walking
x
Climbing
x
Lifting (floor to waist level) (in pounds)
x
Lifting (waist level and above) (in pounds)
x
Carrying objects
x
Push/pull
x
Twisting
x
Bending
x
Reaching forward
x
Reaching overhead
x
Squat/kneel/crawl
x
Wrist position deviation
x
Pinching/fine motor skills
x
Keyboard use/repetitive motion
x
Taste or smell (taste=never)
x
Talk or hear
x
Accurate 20/40
Very Accurate 20/20
Not Applicable
Near Vision
x
Far Vision
x
Yes
No
Not Applicable
Color Discrimination
Sensory Requirements
Minimal
Moderate
Accurate
Not Applicable
Depth perception
x
Hearing
x
Environment Requirements
Occupational Exposure Risk Potential
Reasonably Anticipated
Not Anticipated
Blood borne pathogens
x
Chemical
x
Airborne communicable diseases
x
Extreme temperatures
x
Radiation
x
Uneven surfaces or elevations
x
Extreme noise levels
x
Dust/particulate matter
x
Other (exposure risks):
Usual workday hours :
x
8
10
12
Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.

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