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Remote Ai Data Engineer Jobs in Riverside, CA (NOW HIRING)

... remote team. Preferred Qualifications: • Experience supporting data platforms, analytics ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

... remote team. Preferred Qualifications: • Experience supporting data platforms, analytics ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

AI-first team where tooling and process are built around accelerating delivery * Competitive salary ... Verify compliance-critical behavior: disclosure timing, fee tolerances, audit trails, and data ...

This role sits at the intersection of finance, data science, and analytics engineering. The Data ... Promote adoption of data science, automation, and AI capabilities within the Finance organization ...

Showing results 21-40

Remote Ai Data Engineer information

See Riverside, CA salary details

$46.4K

$135.3K

$185.2K

How much do remote ai data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote ai data engineer in Riverside, CA is $135,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,400.00 per year, depending on experience, location, and employer.

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

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

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are popular job titles related to Remote Ai Data Engineer jobs in Riverside, CA?

For Remote Ai Data Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Engineer jobs in Riverside, CA look for?

The top searched job categories for Remote Ai Data Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Ai Data Engineer jobs?

Cities near Riverside, CA with the most Remote Ai Data Engineer job openings:

Senior Database Reliability Engineer

Riverside, CA • Remote

micro1 AI
Software Development • 11 - 50 employees

$220K - $260K/yr

Part-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

Senior Database Reliability Engineer:


Job Type: Full-time


Location: Remote


Job Summary:

Join our team as a Senior Database Reliability Engineer, where you’ll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL environments. You will leverage your deep technical expertise to drive database reliability, high availability, and performance at scale within a cutting-edge, cloud-native infrastructure. This is an excellent opportunity for talented engineers who are passionate about building robust data systems and thrive in collaborative, fast-paced environments.


Key Responsibilities:

• Design, implement, and manage highly available, resilient PostgreSQL database architectures using AWS RDS and Aurora PostgreSQL.

• Optimize database performance by analyzing query execution plans, tuning indices, and implementing advanced partitioning strategies.

• Ensure disaster recovery readiness through robust backup, replication, and failover processes.

• Diagnose and resolve slow queries, locks, deadlocks, and complex bottlenecks impacting large-scale databases.

• Automate routine maintenance tasks and promote operational excellence across all database environments.

• Collaborate cross-functionally to support new features, data migrations, and ongoing application scaling.

• Maintain comprehensive documentation and demonstrate excellent written and verbal communication skills.


Required Skills and Qualifications:

• 5+ years of experience managing and optimizing PostgreSQL databases in production settings.

• Expert-level knowledge of PostgreSQL internals, query tuning, indexing, partitioning, and replication.

• Proven hands-on experience with AWS RDS and Aurora PostgreSQL, including backup, recovery, and high-availability design.

• Strong analytical abilities in troubleshooting slow queries, execution plans, locks, and deadlocks.

• Demonstrated experience maintaining large-scale, high-traffic databases with millions of rows.

• Deep care for clear, proactive written and verbal communication.

• Ability to work independently and collaboratively within a remote team.


Preferred Qualifications:

• Experience supporting data platforms, analytics workloads, ETL processes, and operational databases.

• Familiarity with Infrastructure as Code (Terraform), CI/CD pipelines, and cloud-native service environments.

• Exposure to supporting modern data architectures and advanced monitoring tools.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $120,000-$150,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.