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

AI Infrastructure Engineer

Norco, CA · On-site +1

$115K - $151K/yr

Blend AI platform engineering, secure distributed data architecture, and classified-environment deployment engineering. * Evaluate current systems, design modernization roadmaps, and build secure ...

... 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 ...

... 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 ...

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

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Showing results 1-20

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:

Sr. Software Engineer - AI & Data Platforms (Hybrid)

Irvine, CA • On-site, Remote

Viant Technology
Marketing • 201 - 500 employees

$150K - $180K/yr

Full-time

Medical, PTO

Posted 28 days ago


Job description

WHAT YOU'LL DO
Viant is looking for a Senior Software Engineer to join the Potens team and help evolve Magnus and Goliath, two internal platforms that power workflow orchestration and large-scale data exploration.
This is a hands-on, full-stack engineering role combining the modernization of mature production systems with the development of new AI-powered capabilities. You'll work across Java and Go backend services, browser-based JavaScript applications, data platforms, and emerging AI technologies.
A key part of the role will be expanding how users and authorized AI agents interact with our platforms from creating and managing workflows to exploring BigQuery data, generating and executing SQL, and securely accessing platform capabilities through AI tools.
We're looking for an engineer who enjoys solving complex production problems, working across the stack, and owning software from design through deployment and ongoing support.
Magnus is a visual workflow orchestration platform supporting BigQuery, Cloud Storage, MySQL, REST APIs, email, FTP, conditional routing, parallel execution, Go and JavaScript scripting, YAML workflow definitions, debugging, audit history, and access controls.
Goliath is a lightweight, high-performance BigQuery development interface for writing and executing SQL, browsing datasets and tables, visualizing results, and managing cost and quota allocation without requiring direct access to the GCP Console.
As these platforms evolve, you'll help expand their AI capabilities, including enabling users and authorized AI agents to:
  • Create, understand, and modify Magnus workflows
  • Discover, execute, and monitor workflows through MCP
  • Explore BigQuery datasets and schemas through Goliath
  • Generate, execute, and interpret SQL using AI
  • Securely access platform capabilities through permission-aware AI tools
THE DAY-TO-DAY
  • Maintain and modernize Magnus Java applications, REST APIs, and Goliath's JavaScript/jQuery frontend
  • Develop and support backend capabilities using Java and Go
  • Build production AI features and integrations using LLMs, tool calling, guardrails, evaluation, and MCP
  • Integrate with BigQuery, MySQL, GCP services, and internal APIs
  • Diagnose and resolve application, workflow, database, performance, and production issues
  • Build automated tests and deliver reliable, production-quality software
  • Own projects end to end, from technical proposal and implementation through deployment and production support
  • Participate in code reviews and contribute to sound engineering practices across the team
GREAT TO HAVE
  • MCP server/client development and AI agent or tool-calling architectures
  • Go development in production environments
  • GCP and BigQuery
  • Docker, Kubernetes, or GKE
  • MySQL performance optimization
  • CI/CD pipelines, including GitHub Actions
  • Python development
  • Java 8, Tomcat, JSP, CodeMirror, or Chart.js
  • Incremental modernization of mature applications while maintaining production stability

LIFE AT VIANT
Investing in our employee's professional growth is important to us, but so is investing in their well-being. That's why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more.
Base compensation range: $150,000.00 - $180,000.00
In accordance with California law, the range provided is Viant's reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education.
#LI-TD1
About Viant
Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at viantinc.com.
Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
By clicking "Apply for this Job" and providing any information, I accept the Viant California Personnel Privacy Notice.