2

Entry Level Data Analytics Engineer Jobs in California

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 ...

Analytics Engineer

Los Angeles, CA ยท 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 ...

Gong is seeking a Senior Analyst, Analytics engineering to empower our analytics community by building, maintaining, and governing a data warehouse of operational and financial data. You'll partner ...

Analytics Engineer

Sylmar, CA ยท 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 ...

Analytics Engineer

Los Angeles, CA ยท 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 ...

Durability Analytics Engineer

Irvine, CA ยท On-site

$96K - $120K/yr

Fleet Data Analytics: * Develop fleet data analyses mapping travel, driving, road infrastructure ... Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science or similar.

Durability Analytics Engineer

Irvine, CA ยท On-site

$96K - $120K/yr

Fleet Data Analytics: * Develop fleet data analyses mapping travel, driving, road infrastructure ... Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science or similar.

Durability Analytics Engineer

Irvine, CA ยท On-site

$96K - $120K/yr

Fleet Data Analytics: * Develop fleet data analyses mapping travel, driving, road infrastructure ... Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science or similar.

The Analytics Engineer will develop, construct, test, and maintain data architectures, focusing on infrastructure and data flow management, while building and maintaining data pipelines and ensuring ...

Entry Level Data Scientiest

Los Angeles, CA ยท On-site

$18 - $24/hr

Analyze large amounts of information to client trends and patterns * Classifier, Random Forest ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

Showing results 21-40

Entry Level Data Analytics Engineer information

What is an entry level data analytics engineer?

An Entry Level Data Analytics Engineer is a professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with large datasets, utilize tools like SQL, Python, or Excel, and help build data pipelines and dashboards. At the entry level, they focus on supporting senior data engineers and analysts, learning best practices, and developing foundational technical skills. This role is ideal for recent graduates or those new to the field looking to gain experience in data engineering and analytics.

What are some typical projects an entry level data analytics engineer might work on during their first year?

As an Entry Level Data Analytics Engineer, you can expect to work on projects such as cleaning and organizing raw data, building basic data pipelines, and supporting senior engineers in developing dashboards or reports. You may also assist with troubleshooting data issues and automating repetitive tasks using scripts. These tasks help you gain hands-on experience with common tools and platforms, and provide exposure to teamwork and cross-functional collaboration with data analysts, business stakeholders, and IT teams.

What are the key skills and qualifications needed to thrive as an entry level data analytics engineer, and why are they important?

To thrive as an Entry Level Data Analytics Engineer, you need foundational knowledge in statistics, data analysis, and programming, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills ensure you can extract meaningful insights from data, support business decisions, and contribute to data-driven organizational goals.

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 Entry Level Data Analytics Engineer jobs in California?

For Entry Level Data Analytics Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analytics Engineer jobs in California look for?

The top searched job categories for Entry Level Data Analytics Engineer jobs in California are:

What cities in California are hiring for Entry Level Data Analytics Engineer jobs?

Cities in California with the most Entry Level Data Analytics Engineer job openings:

Infographic showing various Entry Level Data Analytics Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Analytics

Santa Clara, CA โ€ข On-site

Contractor

Re-posted 10 days ago


Job description

Job Title: 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
Job Description: 
1.    Strong in advance SQL
2.    Good at data analysis
3.    Should be able to build BI dashboards using Tableau & Power BI
4.         Experience in Databricks, AWS and Python
5.    Candidate should be able to assist business stakeholders to build their dashboards
•     Supply chain domain knowledge