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

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

$130K - $160K/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 ...

Arctiq

Data Engineer

Irvine, CA · Remote

$117.20K - $140.70K/yr

We are looking for a Data Engineer (Data Analyst) to join Arctiq dedicated entirely to a high-priority internal data implementation. This is primarily a data engineering role, the successful ...

KPMG LLP

Snowflake Data Engineer

Irvine, CA · On-site +1

$122.90K - $147.60K/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 ...

Cotality

Sr Professional, Software Engineer

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

... remote data sources. * Utilize Spring Framework to build and maintain backend services, ensuring ... Write clean, maintainable, and well-documented code following object-oriented programming ...

Invoca

Senior ML Engineer

Anaheim, CA · On-site +1

$109.40K - $150.20K/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 ...

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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 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.

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
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.
Data Engineer (Remote)

Data Engineer (Remote)

Reveel

Irvine, CA • Remote

$115K - $150K/yr

Full-time

Posted 13 days ago

Job description

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 building and optimizing ETL workflows in Snowflake using Snowpark, managing parcel logistics data, and keeping our backend pipelines reliable. You'll be working directly with the CTO and will quickly get exposure to high-value projects that impact our core product.

This person should be familiar with Git and comfortable working in a backend-focused role. Experience with SQL and Python is still useful, but on the job you'll primarily be using Snowpark to write and orchestrate data transformations. Familiarity with workflow tools like Dagster is also a plus.

This role is fairly autonomous. A successful applicant should be comfortable using their skill, intuition, and creativity to accomplish a task without detailed direction on how it should be accomplished. While the ideal candidate should be capable and independent, they will be part of a supportive and friendly team dedicated to mutual success.

Minimum Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field (or equivalent experience)

  • U.S. citizen and currently residing in the United States

Key Responsibilities

  • Develop and maintain ETL workflows in Snowflake using Snowpark

  • Write and optimize transformations to support reporting and analytics

  • Manage code in Git and contribute to a clean, well-documented codebase

  • Orchestrate data workflows with Dagster

  • Parse and process parcel logistics data in formats such as CSV, JSON, and EDI

  • Work directly with the CTO in 2-week sprint cycles

Preferred Skills

  • Snowflake (Snowpark)

  • Git

  • SQL

  • Python

  • Dagster (or similar orchestration tools like Airflow/dbt)

Bonus if Familiar With

  • Parcel logistics or shipping data

  • EDI feeds and schemas

  • Data pipelines in a SaaS product environment

About Us

We are the leading parcel shipping analytics company, pioneering Parcel Spend Management (PSM 2.0). Candidly, the logic behind shipping data is insane and very hard to understand! We make that easy for our customers by creating amazing software.

Since 2006, Reveel has been dedicated to providing Shipping Intelligence for the smartest business decisions possible. Founded by former DHL sales executives, Reveel was created to level the playing field. Over the past decade-plus, our zero-risk services have saved our clients millions of dollars.