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Ai Data Engineer Jobs in California (NOW HIRING)

Senior AI Data Engineer

San Diego, CA ยท On-site

$160K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Cortica is looking for a Senior AI Data Engineer to join its growing team! Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with ...

AI & Data Security Engineer

Cupertino, CA ยท On-site

$181.10 - $272.10/hr

  • Medical

  • Dental

  • Retirement

Description We're looking for an AI & Data Security Engineer responsible for securing data across the full AI lifecycle, from data classification and enforcement of access controls to model ...

Data Engineer Data Pipelines and ETL

Burbank, CA ยท On-site

$121K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Senior Data Engineer, AI Platform

San Jose, CA ยท On-site

$124K - $168K/yr

About the Role We are looking for a Senior Data Engineer (AI Platform) to design and build scalable data systems that power next-generation AI and Generative AI applications. This is a senior, hands ...

Associate Data Engineer 2027 - AI & Data Analytics

San Francisco, CA ยท On-site

$134K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will work across data gathering, ingestion, transformation, storage, batch and real-time ... Familiarity with AI coding tools and GenAI concepts, including prompt engineering, RAG, fine-tuning ...

New

$180 - $240/hr

Guide engineering teams through implementation * Review code, pipelines, infrastructure, and deployment designs * Translate business requirements into AI, data, and cloud-native solution designs

Data Engineer Data Pipelines and ETL

Burbank, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Showing results 21-40

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 Aug 19, 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 cities in California are hiring for Ai Data Engineer jobs?

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

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.

Senior AI Data Engineer

Cortica - Neurodevelopmental

San Diego, CA โ€ข Remote

$160K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 19 days ago


Job description

Cortica is looking for a Senior AI Data Engineer to join its growing team!

Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care - one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversityย and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. Weย safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex,ย national origin, age, disability, creed, genetic information, sexual orientation, gender identity orย expression, ancestry, veteran status or other applicable, legally protected characteristics. Allย Cortica employment decisions are made based on an individual's qualifications and ability toย successfully perform the job responsibilities.

What will you do?

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. You'll work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency.

  • Own projects end-to-end: From stakeholder requirements through production deployment
  • Design and build data pipelines that are reliable, scalable, and maintainable
  • Develop and evolve data models that support clinical, financial, and operational reporting
  • Use AI-assisted development as a core part of your daily workflow
  • Build lightweight internal tools and dashboards where pipelines alone aren't enough
  • Ensure data security and compliance across all work
  • Collaborate across teams and document decisions so others can build on your work

We'd love to hear from you if:

  • You have 5+ years of experience designing and building production data pipelines.
  • You bring 2+ years of experience working with AI-first development workflows.
  • You're fluent in Python and SQL at an advanced level
  • You bring 4+ years of experience with the following AWS and/or Azure big data services
  • You have 2+ years of experience with orchestration frameworks
  • You possess application development literacy to lightweight web tooling to complementย data products.

Your Compensation & Benefits

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we'll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspectsof your life.

The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fitsย appropriately within the range.

EOE. This posting is not meant to be an exhaustive list of the role and its duties.

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