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Remote Data Engineer Jobs in Rancho Cucamonga, CA

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

Senior Project Engineer

La Verne, CA · Remote

$98K - $128K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123K - $162K/yr

Overview Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ...

We are a relentlessly client-focused group who are re-imagining, re-designing, and re-engineering ... Participate in client meetings and perform site visits for data gathering as required * Interpret ...

Sales Applications Engineer

Brea, CA · On-site +1

$107K - $133K/yr

The company delivers power for applications including data centers, microgrids, grid stabilization ... This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ...

Sales Applications Engineer

Brea, CA · On-site +1

$107K - $133K/yr

The company delivers power for applications including data centers, microgrids, grid stabilization ... This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ...

Senior Engineer

Pomona, CA · On-site +1

$140K - $175K/yr

Mesa seeks a Senior Engineer to lead multiple transmission line projects from start to finish. This ... Hybrid or Remote options available ANNUAL SALARY RANGE: $140,000 to $175,000 The expected ...

Senior Engineer

Pomona, CA · On-site +1

$140K - $175K/yr

Mesa seeks a Senior Engineer to lead multiple transmission line projects from start to finish. This ... Hybrid or Remote options available ANNUAL SALARY RANGE: $140,000 to $175,000 The expected ...

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

Contract length: through FY26 (June 30) + extension * 100% remote (must be available PST hours ... Develop and optimize Application Engine programs, including SQL, PeopleCode, and data ...

Peoplesoft Payroll Developer * Full time contract (1099/C2C) * 100% remote (PST) Scope of Work ... Performs highly complex data analysis and tests/debugs highly complex software, working directly ...

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Remote Data Engineer information

See Rancho Cucamonga, CA salary details

$45.5K

$132.6K

$181.4K

How much do remote data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote data engineer in Rancho Cucamonga, CA is $132,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $140,500.00 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 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 are the most commonly searched types of Data Engineer jobs in Rancho Cucamonga, CA? The most popular types of Data Engineer jobs in Rancho Cucamonga, CA are:
What are popular job titles related to Remote Data Engineer jobs in Rancho Cucamonga, CA? For Remote Data Engineer jobs in Rancho Cucamonga, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Rancho Cucamonga, CA look for? The top searched job categories for Remote Data Engineer jobs in Rancho Cucamonga, CA are:
What cities near Rancho Cucamonga, CA are hiring for Remote Data Engineer jobs? Cities near Rancho Cucamonga, CA with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Rancho Cucamonga, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $132,559 per year, or $63.7 per hour.
Data Analyst

Full-time

Posted 4 days ago


Job description

REMOTE - US Residents Only
We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing, and analysis; these will affect strategic corporate decisions. By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide value, this is an amazing opportunity.

Main Activities:

By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights.

Create and update easy-to-use dashboards and reports to properly communicate findings to nontechnical stakeholders.

Analyze facts and come to decisions to support corporate strategy, process improvement, and decision-making.

Create and carry out ad hoc research to satisfy the needs of several divisions of the business.

Work with groups to create key performance indicators (KPIs) and to pinpoint critical metrics for ongoing observation.

Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced.

Automating repetitious data processes will help to simplify processes and increase efficiency.

Look for discrepancies and propose corrections to confirm data is accurate and full.

Needed Competencies:

Verified background in business analysis, data analysis, or any allied subject.

ability to effectively examine data with programs and languages including R, Python, SQL, or Excel.

skilled in the application of Tableau and Power BI among data visualization tools.

Mastery in statistical techniques and data modeling.

ability to succinctly and clearly show complex data results to viewers ranging in knowledge from professionals to laypeople.

Superior analytical and problem-solving skills; exacting.

competent of properly scheduling one's time, creating priorities, and finishing projects on schedule.

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas.

Our offerings comprise:

a workplace supportive of innovative ideas and group projects.

Prospects for lifelong learning and professional development.

Reasonably affordable benefits and flexible working schedules.

a chance to greatly influence things by basing decisions on statistics.