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

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Senior SDET Location: Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles ... Verify compliance-critical behavior: disclosure timing, fee tolerances, audit trails, and data ...

Software Engineer

Claremont, CA · Remote

$100K - $125K/yr

Software Engineer Flash Biometrics | Hybrid/Remote - Claremont, CA Salary Range: $100,000-$125,000 ... Strong foundation in computer science fundamentals, algorithms, and data structures * Experience ...

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our ... remote team. Preferred Qualifications: • Experience supporting data platforms, analytics ...

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our ... remote team. Preferred Qualifications: • Experience supporting data platforms, analytics ...

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our ... remote team. Preferred Qualifications: • Experience supporting data platforms, analytics ...

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our ... remote team. Preferred Qualifications: • Experience supporting data platforms, analytics ...

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our ... remote team. Preferred Qualifications: • Experience supporting data platforms, analytics ...

Showing results 21-40

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 Sep 14, 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 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 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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

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 September 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $135,329 per year, or $65.1 per hour.

Senior Product Analyst - Data & Integration

Santa Ana, CA • Remote

First American
Finance and Insurance • 1 - 5K employees

$89K - $112K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

Who We AreJoin a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For list for eleven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com.What We Do**Remote Work Welcome**
Join the ranks of visionary technology leaders at First American-where history meets innovation, and tradition fuels transformation. As a Senior Product Analyst - Data & Integration,you'llplay a critical role in shaping how customer data powers the future of our sales, marketing, service, and AI capabilities.
This role goes beyond traditional business analysis. You will serve as the strategic bridge betweenSales, Marketing, Engineering, and Enterprise Data teams to ensure customer and engagement data are connected, governed, and activated across our Salesforce ecosystem and custom platforms.
We're looking for someone who enjoys solving complex business problems, translating strategy into actionable requirements, and influencing cross-functional teams without direct authority. This is an opportunity to help define the future of enterprise customer data while enabling next-generation digital experiences and AI-powered capabilities.
Be part of a teamthat'stransforming the title and settlement industry through innovation, modern technology, and intelligent customer engagement.

What You'll Do

  • Partner with Marketing, Sales, Data Operations, Engineering, and Enterprise Data teams to define business capabilities supported by Salesforce, Data360, Marketing Cloud, and custom platforms.

  • Lead discovery sessions with business stakeholders toidentifycustomer, engagement, operational, and behavioral data requirements that support sales, marketing, servicing, analytics, and AIcapabilities.

  • Partner with business stakeholders to define the business logic, data requirements, and integration patterns that govern how customer and engagement data is captured, transformed, activated, and shared across enterprise platforms.

  • Translate businessobjectivesinto scalable business requirements, user stories, process flows, functional specifications, and data mapping documentation that support technical implementation.

  • Collaborate with Engineering and Enterprise Data teams to design scalable, reusable integration patterns that improve platform interoperability, reduce duplicate development, and accelerate delivery.

  • Define business rules supporting customer& engagementdata assets across Salesforce and connected platforms.

  • Serve as the liaison betweenSales, Marketing, Data Operations, and Engineering teams to ensure enterprise customer data supports current business capabilities and future AI-driven experiences.

  • Support AI-enabled solutions by ensuring customer profile, engagement, and operational data are connected, accessible, andoptimizedfor intelligent automation, predictive insights, and agentic experiences.

  • Collaborate with Product Managers to ensure product roadmaps incorporate enterprise data and integration capabilities whilemaintainingalignment across Salesforce, marketing technologies, and custom business applications.

  • Continuously evaluate business processes andidentifyopportunities to improve operational efficiency through automation, reusable integration patterns, and modern platform capabilities.

  • Create andmaintainbusiness documentation, including process maps, functional requirements, user stories, acceptance criteria, and integration specifications.

What You'll Bring

  • Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, ora relateddiscipline, or equivalent experience.

  • 5+ years of experience leading business analysis, product analysis, or solution analysis within Salesforce or enterprise CRM ecosystems.

  • Experience working with Salesforce Sales Cloud, Service Cloud, Marketing Cloud, and Data360.

  • Experience with customer data platforms such as Segment.

  • Strong understanding of enterprise customer data, data integration, identity resolution, APIs, event-driven architectures, and modern integration patterns.

  • Expertisein requirements gathering, business process analysis, stakeholder facilitation, process modeling, and user story development.

  • Strong understanding of customer data governance, data quality, and business data stewardship.

  • Excellent communication and influencing skills.

  • Experience supporting enterprise AI initiatives, intelligent automation, or customer data activation strategies is preferred.

Preferred Qualifications

  • Salesforce Business Analyst Certification or Salesforce Administrator Certification.

  • Salesforce Data Cloud (Data360) Consultant Certification.

  • SalesforceAgentforceCertification.

  • Experience with MuleSoft or enterprise integration platforms.

Pay Range: $112,400.00 - $149,800.00 AnnuallyThis hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job-related knowledge, skills, experience, business requirements and geographic location.

** Note that the following statements only apply to candidates who will be working from an unincorporated area within Los Angeles County. **

First American will consider for employment all qualified applicants, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws (e.g., the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act).

First American intends to conduct a review of an applicant's criminal history in connection with a conditional offer. First American reasonably believes that a criminal history may have a direct, adverse and negative relationship with the following material job duties for this position potentially resulting in the withdrawal of the conditional offer of employment: handling of confidential, proprietary or trade secret information belonging to First American or its customers, administrating or facilitating financial transactions, and the ability to meet customer-imposed criminal history requirements.

What We OfferBy choice, we don't simply accept individuality - we embrace it, we support it, and we thrive on it! Our People First culture is inclusive for all employees - not just because it's the right thing to do, but because it's the key to our success. We are proud to foster an authentic and inclusive workplace For All. You are free and encouraged to bring your entire, unique self to work. First American is an equal opportunity employer in every sense of the term.Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan.