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

Techoundsllc

Data Engineer - REMOTE

Corona, CA · Remote

$118K - $141K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate ...

Reveel

Data Engineer (Remote)

Irvine, CA · Remote

$115K - $150K/yr

We are looking for a Data Engineer to help us expand and maintain our data infrastructure. We're seeking a junior to mid-level Data Engineer to join our small but mighty team. This role is all about ...

Wayvia

Data Engineer III

Irvine, CA · On-site +1

$160K - $180K/yr

Job Brief: The Data Engineer III will lead the development and maintenance of our data ... This is a remote position open to candidates based in the United States. Compensation: The salary ...

KPMG LLP

Snowflake Data Engineer

Irvine, CA · On-site +1

$122K - $147K/yr

Qualifications: • Bachelor's degree from an accredited college or university in computer science, information systems, or a related field • Proven experience as a Snowflake Data Engineer or in a ...

Invoca

Senior ML Engineer

Anaheim, CA · On-site +1

$109K - $150K/yr

About the Team The Data Platform team owns the full ML lifecycle at Invoca, from model training and ... Familiarity with RLHF or preference training is a bonus 📍 Location This is a remote-first role.

ATTOM Data Solutions

Cloud Operations Engineer

Irvine, CA · On-site +1

$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 ...

Corvel

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 ...

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All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Riverside, CA

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 Jun 20, 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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

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 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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
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:
Remote Data Engineer jobs near you

Data Engineer - REMOTE

Techoundsllc

Corona, CA • Remote

$118K - $141K/yr

Full-time

Posted 18 days ago

Job description

Must reside in PST time zone!

Job Overview
We are seeking a skilled Data Engineer with 3–5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate will have a strong background in MongoDB, MySQL, and SQL, coupled with experience in AWS RDS and tools like Jira, along with strong analytical and problem-solving skills. This role involves designing, building, and maintaining optimized, highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics team and support business initiatives.

Key Responsibilities

· Develop and execute complex queries in MongoDB, MySQL, and SQL to analyze and extract meaningful insights from datasets.

· Create and maintain reporting solutions that support business needs, ensuring clarity and accuracy.

· Collaborate with stakeholders to understand reporting requirements and deliver actionable insights through dashboards or reports.

· Support ad-hoc analysis by providing timely and efficient query solutions to business teams.

· Leverage AWS services, such as RDS and S3, to support data integration and reporting workflows.

· Troubleshoot and resolve data-related issues to ensure smooth operations.

· Create and maintain documentation for data processes, queries, and reporting workflows.

Qualifications

· Experience: 3–5 years of experience as a Data Engineer or similar role with a focus on data analysis and reporting.

· Strong proficiency in MongoDB, MySQL, and SQL for query design and optimization.

· Hands-on experience with AWS RDS and related AWS services.

· Ability to analyze and interpret data to provide actionable insights.

· Experience creating and maintaining reports, dashboards, and visualization tools.

Tools

· Proficiency with Jira for task and workflow management.

Preferred Qualifications

· Experience with Python or similar programming languages for advanced data manipulation.

· Knowledge of Agile methodologies and task tracking tools.

· Familiarity with reporting tools.

· Nice to have: Experience leveraging AI/ML technologies to enhance data analysis, automate workflows, or optimize reporting processes.