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Entry Level Ai Data Engineer Jobs in California (NOW HIRING)

SupportFinity™

Data Engineer

Redwood City, CA · On-site

$120 - $170/hr

Founded at Stanford's Doerr School and backed by leading investors in Energy and AI, GridCARE is ... We are looking for a Data Engineer with hands-on experience in data ingestion into cloud ...

New

Quest Global

Data Engineer AI

Sunnyvale, CA

$105K - $110K/yr

Data Analyst / Engineer Who We Are: Quest Global delivers world-class end-to-end engineering ... Work experience - AI integration, Agentic AI * Secondary: Tableau What You Will Bring: * Create and ...

Quest Global

Data Engineer AI

Sunnyvale, CA · On-site

$105K - $110K/yr

Data Analyst / Engineer Who We Are: Quest Global delivers world-class end-to-end engineering ... Work experience - AI integration, Agentic AI * Secondary: Tableau What You Will Bring: * Create and ...

OSTechnical

Be Seen First

Data Engineer

Irvine, CA · On-site

$100K - $115K/yr

Data Engineer with a client at Irvine, CA Contract to hire. Position Summary The Engineer, Data ... Apply AI-driven techniques for anomaly detection, schema drift identification, and intelligent data ...

Lam Research

Process Engineer - AI/Data Science

Fremont, CA · Hybrid

$125K - $150K/yr

The impact you'll make Join Lam as a process engineer - AI/Data Science embedded in an experimental-focused process team, where you'll design, develop, and program methods to analyze unstructured and ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

R0247987 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Zof AI

Senior Data Engineer

San Francisco, CA · On-site

$140 - $200/hr

Zof AI is seeking a Senior Data Engineer to build the pipelines that turn raw agent runs, test results, and remediation outcomes into data the company can trust. This role owns the data layer beneath ...

New

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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Entry Level Ai Data Engineer information

What is an entry level AI data engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.

What are some common challenges faced by entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

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

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

What is the difference between Entry Level Ai Data Engineer vs Data Analyst?

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

How to get into entry level AI data engineering?

To enter an entry-level AI data engineering role, develop skills in programming languages like Python and SQL, understand data pipelines and databases, and gain experience with cloud platforms such as AWS or Azure. Completing relevant certifications or courses in data engineering and machine learning can also improve job prospects.

What are the most commonly searched types of Ai Data Engineer jobs in California?

The most popular types of Ai Data Engineer jobs in California are:

What are popular job titles related to Entry Level Ai Data Engineer jobs in California?

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

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

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

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

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

Entry Level Ai Data Engineer jobs near you
Infographic showing various Entry Level Ai Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Synthetic Data Engineer (AI Data/Training)

Hyphen Connect Limited

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of data processing and model training within the organization.

Responsibilities:

  • Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting.
  • Implement automated quality scoring and de-duplication systems.
  • Manage data pipelines that feed directly into SFT and DPO training loops.

Qualifications:

  • Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
  • Deep knowledge of prompt engineering for data generation.
  • Familiarity with dataset distillation and bias mitigation.

Apply