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Ai Data Engineer Jobs in California (NOW HIRING)

Institute of Foundation Models

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

Our mandate is to advance research, nurture the next generation of AI builders, and drive ... The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data ...

Rad AI

Data Engineer

San Francisco, CA · On-site

$145K - $200K/yr

About Rad AI At Rad AI, we're on a mission to transform healthcare with artificial intelligence ... We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth ...

Benchling

Data Engineer

San Francisco, CA · On-site

$153K - $207K/yr

AI has the potential to change this, compressing decades of R&D work into years. But that only ... Benchling is building AI & Data Engineering (AIDE), a small, autonomous team within our Security ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$120K - $133K/yr

Lead Data Engineer (GCP, Supply Chain & AI Data Platforms) Role Overview We are seeking an experienced and hands-on Lead Data Engineer to join our Enterprise Data & AI Organization. In this role, you ...

Deloitte

Lead Generative AI Data Engineer III

Sacramento, CA · On-site

$109K - $144K/yr

Work You'll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for: * Lead the design, development, testing, and deployment of machine learning and artificial ...

Golden State

Data Engineer

San Francisco, CA

$144K - $153K/yr

Maintain a deep understanding of emerging data and AI technologies, develop, and deliver scalable ... Strong proficiency in SQL and at least one programming language (e.g., Python) * Experience ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Ensure responsible AI data usage and compliance standards. Required Technical Skills Advanced Data ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Ensure responsible AI data usage and compliance standards. Required Technical Skills Advanced Data ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

Brevian.ai

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

With BREV/AN, users can effortlessly create, customize, and train AI agents to automate tasks ... Job title Data Engineer Position overview We are looking for an experienced Data Engineer to join ...

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All JobsAi Data Engineer JobsAi Data Engineer Jobs in California

Ai Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do ai data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ai data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What does an AI data engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

What are the key skills and qualifications needed to thrive as an AI data engineer?

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What are some common challenges an AI data engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

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 Ai Data Engineer jobs in California?

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

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

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

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

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

Ai Data Engineer jobs near you
Infographic showing various Ai Data 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, with an average salary of $128,018 per year, or $61.5 per hour.

Data Engineer

Institute of Foundation Models

Sunnyvale, CA

$150K - $450K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



The Role
 
As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.
Key Responsibilities
  • Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLPresearchers,delivering data within tight timelines.
  • Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes.
  • Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking.
  • Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams.
  • Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria.
  • Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively.
  • Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards.
  • Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure.
Academic Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required
  • Master’s degree or PhD degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred.
Professional Experience - Required
  • Extensive experience in data engineering, data processing, and automation using Python.
  • Demonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and processing pipelines.
  • Strong understanding of data structures, algorithms, databases, SQL, and performance optimization.
  • Experience working with cloud infrastructure and distributed data processing frameworks (e.g., AWS, Spark, Kafka, Kubernetes).
  • Excellent problem-solving abilities, attention to detail, and the capability to rapidly address technical challenges.
  • Strong communication and collaboration skills with cross-functional teams.
Professional Experience - Preferred
  • Proven track record of supporting NLP or AI research teams with rapid and reliable data delivery.
  • Experience working with large language models, including evaluation, efficient inference, and prompt engineering.
  • Experience with refining outputs from large-scale AI models, such as LLM-generated data.
  • Contributions to open-source projects, coding competitions, or high visibility in coding communities (e.g., GitHub, Stack Overflow).
  • Familiarity with the latest advancements in NLP data processing and large language model technologies.
Visa Sponsorship
This position is eligible for visa sponsorship.

Benefits Include
*Comprehensive medical, dental, and vision benefits 
 *Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability