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Analytic Engineer Jobs in California (NOW HIRING)

Prosum Inc.

Senior BI / Analytics Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Senior BI / Analytics Engineer Salary Range: $150k to $165kOverview A growing organization is seeking a Senior BI / Analytics Engineer to help build and scale a modern data and analytics ecosystem.

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA

$119K - $188K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging ...

Geico

Staff Analytics Engineer - Product

Palo Alto, CA · On-site

$115K - $230K/yr

GEICO is looking for a Staff Analytics Engineer, Product that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data ...

Abbott

Analytics Engineer

Los Angeles, CA

$81K - $141K/yr

Data engineers create the systems and structures that allow data to be collected, stored ... Builds basic analytic data sets for exploration and modeling. * Assists in the implementation of ...

Abbott

Analytics Engineer

Los Angeles, CA

$81K - $141K/yr

Data engineers create the systems and structures that allow data to be collected, stored ... Builds basic analytic data sets for exploration and modeling. * Assists in the implementation of ...

Apple

GPU Performance Analysis Engineer

San Diego, CA · On-site

The GPU Performance Analysis Engineer will be responsible for delivering high-quality, low-power graphics IP that meets our performance and power goals. You will collaborate closely with the ...

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All JobsAnalytic Engineer JobsAnalytic Engineer Jobs in California

Analytic Engineer information

See California salary details

$38.5K

$100.4K

$135.7K

How much do analytic engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for analytic engineer in California is $100,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $115,000.00 per year, depending on experience, location, and employer.

What is the difference between Analytic Engineer vs Data Engineer?

AspectAnalytic EngineerData Engineer
CredentialsTypically requires a degree in data science, statistics, or related fields; often certifications in SQL, Python, or cloud platformsRequires a degree in computer science, software engineering, or related fields; certifications in cloud services, SQL, and data pipeline tools
Work EnvironmentFocuses on analyzing data, building data models, and creating dashboards; collaborates with data scientists and business teamsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data engineers and software developers
Industry UsageCommonly found in analytics teams, business intelligence, and data-driven decision-making rolesPrimarily in data infrastructure, big data projects, and data platform development

In summary, Analytic Engineers focus on transforming data into insights through analysis and modeling, while Data Engineers build the infrastructure to support data collection and storage. Both roles are essential in data teams but serve different functions within the data ecosystem.

Are analytic engineers in demand?

Analytic engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They often require skills in SQL, data modeling, and tools like Python or Spark, and employment opportunities are expected to grow as organizations prioritize analytics and data infrastructure.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like dbt or Looker, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What does an analytic engineer do?

An analytic engineer designs, develops, and maintains data pipelines and systems to collect, process, and analyze large datasets. They often work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for business insights and decision-making.

What cities in California are hiring for Analytic Engineer jobs?

Cities in California with the most Analytic Engineer job openings:

Analytic Engineer jobs near you
Infographic showing various Analytic Engineer job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $100,420 per year, or $48.3 per hour.

Senior BI / Analytics Engineer

Prosum Inc.

Los Angeles, CA • On-site

$112K - $154K/yr

Other

Re-posted 21 days ago

Key responsibilities

  • Design, build, and optimize ELT pipelines, data models, and semantic layers to support reporting and analytics.

  • Develop and maintain dashboards and reporting solutions using Power BI, including creating DAX calculations, semantic models, and security configurations.

  • Configure, manage, and optimize Snowflake data warehouses, including troubleshooting performance issues and managing data ingestion pipelines.

Job description

Job Description
Senior BI / Analytics EngineerSalary Range: $150k to $165kOverview
A growing organization is seeking a Senior BI / Analytics Engineer to help build and scale a modern data and analytics ecosystem. This role will focus on designing and maintaining scalable ELT pipelines, data models, semantic layers, and executive-level dashboards using modern cloud data technologies.
The ideal candidate brings deep expertise in dbt, Snowflake, Power BI, and modern ingestion platforms, with a strong foundation in data modeling, analytics engineering, and business intelligence best practices.
Key ResponsibilitiesSemantic Layer & Data Modeling
  • Develop and maintain semantic layers supporting operational and executive reporting
  • Create dimensional and subject-area data models aligned to business functions including CRM, sales, marketing, finance, operations, compliance, and customer support
  • Standardize KPIs, metrics, calculations, and business definitions across reporting environments
  • Collaborate with stakeholders to translate business requirements into scalable analytics solutions
Data Transformation & ELT Orchestration
  • Design, build, and optimize dbt Cloud transformation models including staging, core, and mart layers
  • Implement automated testing frameworks for schema validation, data quality, and business logic
  • Manage dbt Cloud job scheduling, orchestration, and deployment workflows
  • Ensure reliable ingestion-to-transformation-to-delivery pipelines
Snowflake Administration & Optimization
  • Configure and manage Snowflake warehouses, roles, permissions, and resource monitors
  • Optimize warehouse performance, scalability, and cost management
  • Configure and maintain connectors and integrations with operational systems
  • Troubleshoot data pipeline and query performance issues
Data Ingestion & Integration
  • Configure and maintain Fivetran connectors and ingestion pipelines
  • Support API-based ingestion processes where needed
  • Monitor connector health, schema drift, and incremental loading processes
  • Maintain integrations across multiple enterprise systems and data sources
Analytics & Dashboard Development
  • Design and develop interactive dashboards and reporting solutions using Power BI
  • Build advanced DAX calculations, semantic models, dataflows, and row-level security configurations
  • Deliver analytics solutions supporting Sales, Marketing, Finance, and Operations teams
  • Provide end-user training and documentation to support adoption and governance
Data Quality & Governance
  • Implement automated monitoring, alerts, and data quality controls
  • Maintain lineage and documentation across analytics and transformation platforms
  • Perform data reconciliation and troubleshooting across multiple source systems
  • Support governance, consistency, and reporting accuracy initiatives
Required Qualifications
  • 7+ years of experience in BI Engineering, Analytics Engineering, Dashboard Development, or ELT-focused roles
  • Deep hands-on expertise with dbt including modeling, testing, documentation, and orchestration
  • Strong experience with Snowflake administration, optimization, and performance tuning
  • Advanced Power BI experience including:
    • Semantic modeling
    • DAX development
    • Dataflows
    • Row-Level Security (RLS)
    • Governance best practices
  • Experience with Fivetran connectors and API-based data ingestion
  • Strong SQL development and dimensional data modeling skills
  • Experience integrating and reconciling data from platforms such as Salesforce, HubSpot, NetSuite, QuickBooks, and call-center systems
  • Strong analytical, troubleshooting, and communication skills
Preferred Qualifications
  • Experience with Python, C#, or other programming languages
  • Exposure to Azure data services, Functions, or API Gateway technologies
  • Background supporting financial services, regulated industries, or compliance-focused environments
  • Experience with Power BI administration and enterprise governance
Preferred Technical Environment
  • dbt Cloud
  • Snowflake
  • Power BI
  • Fivetran
  • SQL
  • Salesforce
  • HubSpot
  • NetSuite / QuickBooks
  • API integrations
  • Cloud-based analytics platforms
Additional Information
  • Senior-level opportunity with high visibility and impact
  • Opportunity to help build and modernize enterprise analytics infrastructure
  • Collaborative, data-driven environment
  • Competitive compensation and benefits package available based on experience

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