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Data Consulting Jobs in California (NOW HIRING)

Jobsbridge

Big Data Consultant (Hadoop)

San Jose, CA

Big Data/Data explorer/Big Insights Consultants are responsible for successful delivery of industry specific BAO technology initiatives. Qualified candidates will have - - Experience in architecting ...

Sonsoft Inc

Big Data Consultant

Sunnyvale, CA

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

Sonsoft Inc

Big Data Consultant

Sunnyvale, CA

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

Sonsoft Inc

Big Data Consultant

Torrance, CA

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

Sonsoft Inc

Cloud/Big Data Consultant

Los Angeles, CA · On-site

$63 - $86/hr

Working knowledge of Big Data ( Hadoop & NoSQL) on Cloud. * Experience preferred with Azure, AWS ... internal consulting teams * Experience in providing advanced technology advisory service.

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Showing results 21-40

All JobsData Consulting JobsData Consulting Jobs in California

Data Consulting information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data consulting jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data consulting in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Consulting vs Data Analysis?

AspectData ConsultingData Analysis
Required CredentialsTypically requires a degree in business, data science, or related fields; certifications like CBIP or CDMP are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are beneficial
Work EnvironmentConsultants often work with multiple clients across industries, providing strategic advice and solutionsAnalysts generally work within organizations, focusing on interpreting data to inform business decisions
Employer & Industry UsageConsulting firms, large corporations, and agenciesCorporations, research institutions, and data-driven departments

Data Consulting involves advising organizations on data strategies, architecture, and solutions, often across multiple clients. Data Analysis focuses on examining data sets to uncover insights and support decision-making within a specific organization. While both roles require strong analytical skills, Data Consulting emphasizes strategic guidance, whereas Data Analysis centers on data interpretation and reporting.

What does a data consulting do?

A data consultant analyzes and interprets data to help organizations make informed decisions. They often work with data management tools, develop data strategies, and provide insights to improve business processes or performance.

What is data consulting?

Data consulting is a professional service that helps organizations leverage data to make informed decisions, optimize operations, and drive business growth. Data consultants analyze existing data systems, recommend strategies for data collection and management, and help implement analytics tools. They often assist with data visualization, reporting, and ensuring regulatory compliance. Their expertise enables companies to turn raw data into actionable insights, improving efficiency and competitiveness.

How do data consultants typically collaborate with clients and internal teams during a project?

Data consultants frequently work in close partnership with both clients and internal stakeholders to identify business challenges, define project objectives, and design effective data-driven solutions. This often involves regular meetings to understand client needs, ongoing communication with data engineers or analysts, and presenting actionable insights in a clear, non-technical manner. Collaboration is key, as consultants must translate complex data findings into strategies that align with the client's goals while ensuring alignment across technical and business teams. The role requires strong interpersonal and project management skills to keep projects on track and deliver measurable value.

How much does a data consulting make?

Data consultants typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data analysis, machine learning, or specific tools may earn higher salaries. Compensation can also include bonuses and benefits based on project scope and client size.

What are the key skills and qualifications needed to thrive as a data consultant, and why are they important?

To thrive as a Data Consultant, you need expertise in data analysis, data modeling, and a solid understanding of business intelligence, often supported by a degree in a quantitative field. Proficiency with tools such as SQL, Python, data visualization platforms (like Tableau or Power BI), and familiarity with data governance frameworks are typically required. Strong communication, problem-solving, and client management skills set standout consultants apart. These competencies are crucial to effectively translate complex data into actionable insights and drive strategic decision-making for clients.
What are popular job titles related to Data Consulting jobs in California? For Data Consulting jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Consulting jobs in California look for? The top searched job categories for Data Consulting jobs in California are:
Data Consulting jobs near you
Infographic showing various Data Consulting 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 $162,857 per year, or $78.3 per hour.

Technical Consultant - Enterprise Data Engineer (Geospatial Data & Platforms)

Esri

Redlands, CA • On-site

Other

Re-posted 14 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Overview

Help power mission-critical systems through enterprise data. As a Technical Consultant, Enterprise Data Engineer, you will design and implement scalable geospatial data platforms that support Defense and Intelligence operations.

You will work directly with customers to architect data solutions that integrate, manage, and optimize complex datasets across secure environments. From database design and performance tuning to high availability and data security, your work will ensure that critical geospatial information is delivered reliably to the people who depend on it most.

This role combines enterprise data engineering, geospatial technology, and mission impact, giving you the opportunity to solve complex data challenges in environments where performance, scale, and reliability are essential. 

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.

Responsibilities

  • Design and implement robust, scalable, and secure database solutions to support mission-critical applications
  • Collaborate with cross-functional teams during all phases of implementation including requirements, analysis, design, build/configuration, and deployment
  • Configure and maintain database environments, including backup, restore, high-availability, and disaster recovery strategies
  • Monitor and tune database performance using industry-standard tools and methodologies (such as query optimization, indexing strategies)
  • Implement data security measures, access controls, and compliance standards across environments
  • Automate routine database loading, maintenance, and monitoring tasks to improve efficiency
  • Provide technical guidance and best practices for database design, migration, and integration projects

Requirements

  • 5+ years of hands-on experience in database design, administration, and optimization for Oracle, SQL Server, PostgreSQL, or SAP HANA
  • Familiarity with database design principles, data loading techniques, backup and recovery solutions, performance monitoring and tuning, database maintenance, and security
  • Scripting skills in SQL and Python for automation and data workflows
  • Exposure to geospatial concepts such as spatial data types, coordinate systems, and spatial indexing
  • Ability to clearly communicate complex technical concepts to technical peers and non-technical project managers or customers
  • US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
  • Bachelor's degree in computer science, mathematics, GIS, or related STEM field

Recommended Qualifications

  • Experience with ArcGIS Enterprise geodatabases
  • Knowledge of integrating GIS with other enterprise systems
  • CompTIA Security + certification
  • One or more industry-standard IT certifications (such as Esri, Microsoft, Amazon, PostgreSQL, Oracle)
  • Master`s degree in computer science, mathematics, GIS, or related STEM field

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What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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