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Internship Data Analytics Engineer Jobs in California

Analytics Engineer Posting Start Date: 7/9/26 Summary The Analytics Engineer plays a key role on ... Plans, creates, and maintains data architecture to enable business decisions and recommend ...

Analytics Engineer (15361)

Modesto, CA

$120K - $145K/yr

Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring data quality, designing efficient models, and ...

Analytics Engineer (15361)

Modesto, CA · On-site

$120K - $145K/yr

Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring data quality, designing efficient models, and ...

Analytics Engineer III

Sacramento, CA · Hybrid

$117K - $176K/yr

This position is a key independent contributor and member of the System Data & Analytics team in Digital. The Analytics Engineer 3 is responsible for the full lifecycle engineering of the department ...

Analytics Engineer III

Sacramento, CA · On-site

$117K - $176K/yr

This position is a key independent contributor and member of the System Data & Analytics team in Digital. The Analytics Engineer 3 is responsible for the full lifecycle engineering of the department ...

Analytics Engineer Posting Start Date: 7/9/26 Summary The Analytics Engineer plays a key role on ... Responsible for preparing and modeling data in the silver and gold layers of G3's Databricks-based ...

1.    Strong in advance SQL 2.    Good at data analysis 3.    Should be able to build BI dashboards using Tableau & Power BI 4.    Candidate should be able to assist ...

Partner closely with data engineering teams to design and improve scalable data pipelines, data models, and data structures that support analytics and reporting needs * Ensure data integrity ...

Data Analytics Location: Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1 ...

Partner closely with data engineering teams to design and improve scalable data pipelines, data models, and data structures that support analytics and reporting needs * Ensure data integrity ...

Analytics Engineer

Sylmar, CA · On-site

$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 ...

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 ...

Partner closely with data engineering teams to design and improve scalable data pipelines, data models, and data structures that support analytics and reporting needs * Ensure data integrity ...

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 ...

Showing results 21-40

Internship Data Analytics Engineer information

What is the difference between Internship Data Analytics Engineer vs Data Analyst Intern?

AspectInternship Data Analytics EngineerData Analyst Intern
Required CredentialsBasic knowledge of data engineering, SQL, programmingBasic understanding of data analysis, Excel, SQL
Work EnvironmentAssist in building data pipelines, working with data engineering teamsAnalyze datasets, generate reports, support decision-making
Employer & Industry UsageTech companies, startups, data-driven organizationsBusiness, marketing, finance sectors

Internship Data Analytics Engineers focus on data pipeline development and engineering tasks, while Data Analyst Interns primarily analyze data and create reports. Both roles require foundational data skills but differ in technical focus and responsibilities.

What are the most commonly searched types of Data Analytics Engineer jobs in California? The most popular types of Data Analytics Engineer jobs in California are:
What are popular job titles related to Internship Data Analytics Engineer jobs in California? For Internship Data Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Data Analytics Engineer jobs in California look for? The top searched job categories for Internship Data Analytics Engineer jobs in California are:
What cities in California are hiring for Internship Data Analytics Engineer jobs? Cities in California with the most Internship Data Analytics Engineer job openings:
Infographic showing various Internship Data Analytics Engineer 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.

Analytics Engineer

G3 Enterprises

Modesto, CA • On-site

Other

Posted 29 days ago


Job description

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Job Description
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Requisition ID: 15361
Job Title: Analytics Engineer
Posting Start Date: 7/9/26
Job Description:

Summary
The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of
data engineering and analytics ensuring data quality, designing efficient models, and maintaining data
assets to enable seamless consumption by business users and analytics tools. Responsible for preparing
and modeling data in the silver and gold layers of G3's Databricks-based data lakehouse environment.
Collaborates across IT and with business stakeholders to define and enforce data standards and
understand data needs.

Essential Functions
This job description reflects management's assignment of essential functions; it does not prescribe or restrict
the tasks that may be assigned.
* Plans, creates, and maintains data architecture to enable business decisions and recommend
technical solutions to management based on scalability and complexity.
* Implements and maintains robust data quality checks and validation processes to ensure high
levels of data accuracy, consistency, and integrity across the silver and gold layers.
* Collaborates with stakeholders to define and enforce data standards, including master data
management, develops data lineage understanding, while adhering to privacy and security
policies.
* Partners with data scientists, analysts, and business stakeholders to understand data needs and
design datasets and referential data that align with organizational goals.
* Responsible for executing the implementation of the data strategy related to G3's data lake goals
and objectives.
* Develops and maintains clear documentation of data models, entity relationship diagrams
(ERDs), governance processes, and quality rules to ensure transparency and reproducibility.
* Monitors and enhances the performance of data models and queries to ensure efficient use of
resources and support timely analytics.
* Works with data warehousing teams to understand and recreate data layer structures.
* Translates business requirements to functional and technical design solutions, specifications, and
prototypes.
* Collaborates with development teams to design high quality data solutions to enable analytics.
* Consults with analytics teams, business users, and decision makers to identify data sources,
required data elements, or data validation standards.
* Develops test plans and facilitates testing prior to promotions.
* Performs cross-functional analysis and collaborates with stakeholders across departments.
Partners and presents findings to senior leadership.
* Responsible for understanding and complying with applicable quality, environmental and safety
regulatory considerations.


Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The
requirements listed below are representative of the knowledge, skill and ability required. Reasonable
accommodations may be made to enable individuals with disabilities to perform the essential functions.


Minimum Qualifications
* Bachelor's degree plus 3 years of experience in analytics engineering, technical architecture,
database management, business intelligence, application development, middleware or a related
role; OR Bachelor's degree plus 2 years of G3 experience in analytics engineering, technical
architecture, database management, business intelligence, application development, middleware
or a related role; OR High School diploma or State-issued equivalency certificate plus 7 years of
experience in analytics engineering, technical architecture, database management, business
intelligence, application development, middleware or a related role; OR High School diploma or
State-issued equivalency certificate plus 6 years of G3 experience in analytics engineering,
technical architecture, database management, business intelligence, application development,
middleware or a related role.
* Proven experience in designing and maintaining data models for analytics and reporting.
* Hands-on experience with data lake modeling concepts and frameworks (e.g., star schema,
snowflake schema), implementing data quality and governance practices.
* Strong SQL skills for data querying and transformation.


Preferred Qualifications
* Bachelor's degree in Computer Science, Business Administration, Mathematics, Data Analytics,
Data Science, or Engineering.
* Experience with cloud computing and "big data" processing and analytics.
* Proficiency in Databricks and the Delta Lake architecture.
* Familiarity with Databricks SQL and Unity Catalog for data governance.
* Experience with BI tools like MicroStrategy, Power BI, Tableau, or Looker to validate and test
analytics-ready data models.
* Knowledge of CI/CD processes and tools like Git for managing code and configurations.
* Understanding of cloud environments (e.g., Azure, AWS, GCP) and related storage and compute
services.
* Understanding of web servers and applications.
* Knowledge of components of an enterprise systems architecture
* Knowledge of business process re-engineering processes including Lean Six Sigma principles.
* Lean Six Sigma Green or Black Belt Certified.
* Strong understanding of network architecture and application development methodologies
* Experience reading, analyzing, and interpreting common scientific and technical journals and
financial reports.
* Knowledge of emerging technologies and development platforms.
* Experience applying machine learning or artificial intelligence to BI applications.
* Experience with performance tuning of business intelligence applications.
* Strong knowledge of SQL queries including writing, reading, and debugging.
* Experience working with Enterprise Data Warehousing, specifically SAP Data Warehousing
(HANA).
* Possesses a passion for technology and its impact on the enterprise, customers and consumers
along with a breadth of experience that can balance business, application and operational
requirements.
* Strong understanding of systems and "systems thinking" with the ability to make trade-off
decisions to accomplish system-wide goals.
* Skilled in navigating complex situations to ensure successful change management and balancing
long-term and short-term goals and perspectives.
* Excellent written and verbal communication skills, with the ability to document processes and
technical specifications clearly.
* Exceptional interpersonal skills, including teamwork, facilitation and negotiation.
* Excellent planning and organizational skills.
* Excellent analytical and technical skills. Skilled in applying multiple technical solutions to business
problems.
* Remains unbiased toward any specific technology or vendor choice.
* Demonstrates strong technical thinking.


Physical Demands
The physical demands described here are representative of those that must be met by an employee to
successfully perform the essential functions of this job. Reasonable accommodations may be made to enable
individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is frequently required to sit, use hands to finger,
handle, feel, talk and hear. The employee is occasionally required to stand and walk.


Work Environment
The work environment characteristics described here are representative of those an employee encounters
while performing the essential functions of this job. Reasonable accommodations may be made to enable
individuals with disabilities to perform the essential functions.
The noise level in the work environment is usually moderate.

Compensation

Hiring Hourly Rate: $45.10 - $56.35

Actual compensation amount paid may be lower or higher to be determined by factors other than race and gender such as the education, experience, knowledge, skills and abilities of the applicant, internal equity, and alignment with market data.

Perks & Benefits

This position includes a competitive benefits package.

Please clickhereto view our full list of benefits.

G3 is enrolled in the Department of Homeland Security's E-Verifying program and will use the program to verify the employment eligibility of all newly hired employees as required. G3 does not sponsor for employment based visas for this position now or in the future.


E-Verify Notice and Right to Work Notice
Employee Polygraph Protection Act
Equal Opportunity Employer

EEO/AA Vet/Disability

Apply now