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

Cloud Operations Engineer

Irvine, CA · Remote

$115K - $130K/yr

Our 30TB Data Warehouse powers industries like real estate, mortgage, and insurance with delivery ... ATTOM is a fully remote company, with employees located throughout the United States. Currently, we ...

Data Scientist II

Irvine, CA · On-site +1

$82.57K - $127.49K/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 ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ... Partner with engineering teams to build and support data pipelines using technologies such as Azure ...

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Ai Automation Engineer

Yorba Linda, CA · On-site +1

$150K - $170K/yr

Our 30TB Data Warehouse powers industries like real estate, mortgage, and insurance with delivery ... ATTOM is a fully remote company, with employees located throughout the United States. Currently, we ...

Ai Automation Engineer

Yorba Linda, CA · Remote

$150K - $170K/yr

Our 30TB Data Warehouse powers industries like real estate, mortgage, and insurance with delivery ... ATTOM is a fully remote company, with employees located throughout the United States. Currently, we ...

Senior Data Security Engineer

Santa Ana, CA · Remote

$129.30K - $172.30K/yr

What We Do As a Senior Data Security Engineer, you will support and enhance First American ... We are open to remote candidates for this role What You'll Do: * Drive initiatives like expanding ...

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Remote Data Engineer information

See Riverside, CA salary details

$46.4K

$135.3K

$185.2K

How much do remote data engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote 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 Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

What are the most commonly searched types of Data Engineer jobs in Riverside, CA? The most popular types of Data Engineer jobs in Riverside, CA are:
What are popular job titles related to Remote Data Engineer jobs in Riverside, CA? For Remote Data Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Riverside, CA look for? The top searched job categories for Remote Data Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Data Engineer jobs? Cities near Riverside, CA with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Riverside, CA as of May 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $135,329 per year, or $65.1 per hour.
Cloud Operations Engineer

Cloud Operations Engineer

ATTOM Data Solutions

Irvine, CA • Remote

$115K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago


Job description

About us
As the leading authority in comprehensive real estate data, ATTOM Data Solutions provides customers with a one-stop destination to make better-informed real estate and economical decisions. Recognized nationwide as a trusted industry partner, ATTOM delivers various data products that ensure the accuracy, support, and flexibility required to get the information businesses and individuals need to achieve maximum results.
ATTOM provides premium property data and analytics that power a myriad of solutions that improve transparency, innovation, digitization and efficiency in a data-driven economy. ATTOM multi-sources premium property data for 155M+ U.S. residential and commercial properties covering 99 percent of the population. Our 30TB Data Warehouse powers industries like real estate, mortgage, and insurance with delivery options like APIs, bulk files, and AI-Ready Solutions for seamless integration and innovation.
ATTOM is a fully remote company, with employees located throughout the United States.
Currently, we can only accept applicants located in the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Kansas, Kentucky, Maine, Minnesota, New Jersey, New York, North Carolina, Ohio, Tennessee, Texas, Virginia, Washington, and Wisconsin
About the Role
We operate a 24x7 SaaS platform and are looking for a Cloud Operations Engineer to join our team at the mid-level. Our primary environment is Azure today, but we are actively expanding into AWS and expect that footprint to grow significantly.
This is a hands-on engineering role—not a support queue job. You’ll be directly involved in operating and improving production systems, building automation, and working alongside our engineering and data teams. We’re looking for someone who can keep things running reliably today while helping us build something better over time. You’ll be working alongside senior engineers to help you succeed.
What you will do:
Production Operations & Incident Response
  • Monitor, triage, and respond to production incidents across our Azure and AWS environments
  • Lead or contribute to root cause analysis and post-incident review
  • Partner with engineering teams during deployments, rollouts, and infrastructure changes

Automation & Infrastructure as Code
  • Write and maintain scripts to automate operational tasks (PowerShell, Python, Bash)
  • Contribute to infrastructure-as-code efforts and help raise the bar on repeatability
  • Identify and eliminate manual toil across cloud operations workflows
Observability & Monitoring
  • Maintain and improve our monitoring, alerting, and logging pipelines
  • Tune dashboards and alerts to reduce noise and improve signal fidelity
  • Help extend observability coverage as we build out new services and environments
Security & Compliance Basics
  • Manage patching cadences and vulnerability remediation across cloud workloads
  • Support identity and access reviews, role assignments, and least-privilege hygiene
  • Apply basic hardening practices and help enforce security standards operationally
Cloud Modernization & Migration
  • Support active migration and modernization initiatives as we grow our AWS presence
  • Document infrastructure, processes, and runbooks to improve institutional knowledge
  • Contribute ideas for improving platform reliability, cost, or architecture over time
What success looks like:
Within your first six months, you’re fully integrated into our on-call rotation, comfortable with our production environments, and handling incidents independently from detection through resolution. You’ve identified at least a few recurring pain points and taken ownership of automating or eliminating them.
By the 12-month mark, you’re contributing meaningfully to our AWS expansion—helping stand up and operate new services as they come online. Our monitoring coverage is better than it was when you arrived, and engineering teams consider you a reliable partner when they’re planning or shipping changes. You’re not just maintaining the platform; you’re actively improving it
What we’re looking for:
  • 3+ years of hands-on experience in a cloud operations, infrastructure, or SRE role
  • Strong fundamentals across either Azure or AWS—compute, networking, storage, identity, and IAM, not just familiarity with VM management
  • Comfortable working in both Windows and Linux environments
  • Scripting proficiency in PowerShell or Bash (ideally both)
  • Working knowledge of Git and source control workflows
  • Able to operate independently—you can own a problem, investigate it, and drive it to resolution without needing constant direction
  • Clear communicator who can work across teams and explain technical issues to non-technical stakeholders when needed
  • Nice to Have
    • Experience with Terraform, Ansible, or similar infrastructure-as-code tooling
    • Familiarity with CI/CD pipelines and deployment tooling
    • Hands-on experience with monitoring and APM tools (we use AWS X-Ray, Azure Application Insights, and Elastic, among others)
    • Cloud certifications (Azure or AWS) are welcome but not required
What we offer
  • Base Annual Salary $115,000-130,000 (Final salary offered may vary depending on your location, job-related skills, knowledge, and experience)
  • Flexible work schedule
  • Flexible time off policy
  • Medical, dental, and vision insurance
  • Life and disability insurance
  • Employer-paid benefits
  • Employer-sponsored EAP (Employee Assistance Program)
  • Traditional 401(k) and Roth retirement plans with discretionary company match
  • Pet insurance
  • Employee referral bonus
  • Co-working/office membership through Regus
ATTOM Data Solutions is an Equal Opportunity Employer/W/M/Dis. Relocation assistance is not offered for this position.
 

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