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

Apple

Data Engineer, Battery Data Platform & AI

Cupertino, CA · On-site

$141K - $169K/yr

On Apple's Battery Engineering team, you'll build the data systems and AI interface that battery engineers across the company rely on - reliable pipelines feeding one of the cleanest and largest ...

Horizon Surgical Systems, Inc.

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

An opportunity to build autonomous surgical robotic systems driven by image guidance and AI ... The Data Engineer is responsible for designing, building, and maintaining the data pipelines that ...

Reveille Technologies

AI ML Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Hi, Title: AI ML Data Engineer Location : Sunnyvale, CA (3 days work from office) Need Local Candidates - In Person Interview Must Skills Needed: * Snowflake and Python/Scala/Java * SQL, No SQL ...

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 ...

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

$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 ...

Mantek Solutions

Data Engineer

Pasadena, CA · On-site

$125K - $150K/yr

Data Engineer Direct Hire - Onsite Pasadena W2 Only (No Sponsorship/C2C) We are looking for a Data ... AI & Automation : Support AI automation initiatives using LLMs and agents. * Data Governance

Shimento, Inc.

Data Engineer

Carlsbad, CA · On-site

$118K - $142K/yr

Title: Data Engineer Location: Carlsbad, CA / Tempe, AZ (Hybrid - 3 days onsite) Duration ... This role will also contribute to cloud migration initiatives and next-generation AI-enabled data ...

Humble Robotics

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV ... Position Overview We're looking for a data engineer to help us turn raw driving data into the well ...

Cypress HCM

Data Engineer

Mountain View, CA · On-site

$70 - $95/hr

Looking for world class server software engineers with Big Data Infrastructure and Data warehousing experience to join our technology innovation group focused on the rapid development of AI driven ...

Knit Health

Data Engineer II

San Francisco, CA

$110K - $135K/yr

What you'll do As a Data Engineer II, you'll be a foundational member of a small, high-impact team building the data backbone of our clinical AI platform. Your work will directly enable the research ...

Humble Robotics

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV ... Position Overview We're looking for a data engineer to help us turn raw driving data into the well ...

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All JobsAi Data Engineer JobsEntry Level Ai Data Engineer JobsEntry Level Ai Data Engineer Jobs in California

Entry Level Ai Data Engineer information

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.

Can you be an entry level AI data engineer with no experience?

Entry level AI data engineer roles typically require some foundational knowledge of programming, data management, and machine learning concepts, but many employers are open to candidates with limited experience if they demonstrate strong analytical skills and a willingness to learn. Gaining relevant skills through online courses, certifications, or internships can improve your chances of qualifying for such positions. Practical experience with tools like Python, SQL, and cloud platforms is often beneficial even at the entry level.

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, and gain experience with data processing tools such as Apache Spark or Hadoop. Building a strong foundation in databases, data modeling, and machine learning concepts, along with relevant certifications or coursework, can improve your chances of securing an entry-level position.

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 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer, Battery Data Platform & AI

Apple

Cupertino, CA • On-site

$141K - $169K/yr

Full-time

Re-posted 18 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

What if the way an entire engineering organization worked with its data could be reinvented? On Apple's Battery Engineering team, you'll build the data systems and AI interface that battery engineers across the company rely on - reliable pipelines feeding one of the cleanest and largest battery datasets anywhere, and a natural language interface that's changing how engineers work with that data. You'll be building the platform the whole battery organization runs on. It's a rare chance to sharpen your data engineering craft and immerse yourself in applied AI at once - on a mission where your work shows up in the products millions of people use every day.
Description
We're looking for a data engineer to build that platform across two tightly connected fronts.
First, you'll expand the Battery Data Warehouse (BDW) - a mature, exceptionally clean dataset that spans the entire battery product development lifecycle: raw materials and characterization, fabrication, performance testing, simulation and modeling, qualification, manufacturing, and field telemetry. You'll build reliable pipelines that bring this data - structured, semi-structured, and unstructured - out of disparate systems owned by teams around the world. A big part of the job is technical; an equally big part is human: earning the trust of source-system owners, opening up new integration opportunities, and establishing and enforcing the SLAs that keep BDW dependable.
Second, you'll build out BARD, the natural language interface to BDW. Done well, BARD will fundamentally change how battery engineers interact with their data - not just replacing dashboards and SQL with conversation, but pairing it with on-demand, in-line charting for real-time analysis and new ways to explore data. Think of it as giving every engineer their own personal data scientist. You'll engineer the full agentic stack: our custom MCP server, agentic search, domain knowledge, tool design, evals, and the end-to-end user experience.
The role combines data engineering and AI engineering work and calls for someone who's both highly self-directed and an exceptional collaborator. You'll take real ownership and drive projects forward, while staying closely aligned with the team and our broader direction.
Minimum Qualifications
BS in Computer Science, Engineering, or a related field
Experience with Python, SQL, and at least one other high-level programming language
Experience building production data pipelines (ETL/ELT)
Preferred Qualifications
MS in Computer Science, Engineering, or a related field with 0+ years of relevant industry experience
Software engineering background and strong database fundamentals: data modeling, schema design, indexing, normalization, ACID, and OLTP vs. OLAP
Hands-on database development (DML, DDL, materialized views, stored procedures); Snowflake (streams, tasks, dynamic tables) a plus
Hands-on experience with orchestration (e.g., Airflow), batch/stream processing, and cloud platforms (e.g., AWS)
Deep curiosity about AI and hands-on experience applying it; you keep up with the latest tools, use AI daily (including for coding), and have strong intuition for tokenization, embeddings, context engineering, eval frameworks, and MCP servers, as well as a clear sense of where AI excels and where it doesn't (e.g., generating new code vs. maintaining complex existing code)
Experience securing AI/LLM systems that process sensitive or regulated data, including prompt injection defense, data handling policies, and audit trail requirements
Excellent written and verbal communication skills with both technical and non-technical audiences
Familiarity with batteries or other deep-tech / hardware engineering domains

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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