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

PM2CM

Cost Engineer Hybrid-Remote

San Bernardino, CA · On-site +1

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 ...

PM2CM

Cost Engineer Hybrid-Remote

Riverside, CA · On-site +1

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 ...

Infinity Marketing

Data Analyst

Riverside, CA · Remote

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 ...

Tunabear

Sr. Peoplesoft HCM Developer

Riverside, CA · Remote

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 ...

Tunabear

Peoplesoft Payroll Developer

Riverside, CA · Remote

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 ...

EnerSys

Senior Finance AI & Automation Developer

Chino, CA · On-site +1

$95K - $142K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Strong understanding of data structure and APIs required * Experience with Python and/or other code ...

PropStream

Senior front-end developer

Lake Forest, CA · Remote

$100K - $120K/yr

Company Description PropStream was founded in 2006 and has become the leading real estate data ... Headquartered in Lake Forest, CA, PropStream currently maintains a remote and hybrid-friendly ...

PropStream

Senior Full Stack Developer

Lake Forest, CA · Remote

$120K - $130K/yr

Company Description PropStream was founded in 2006 and has become the leading real estate data ... Headquartered in Lake Forest, CA, PropStream currently maintains a remote and hybrid-friendly ...

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Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Perris, CA

Remote Data Engineer information

See Perris, CA salary details

$45.4K

$132.3K

$181K

How much do remote data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data engineer in Perris, CA is $132,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 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.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Perris, CA?

The most popular types of Data Engineer jobs in Perris, CA are:

What cities near Perris, CA are hiring for Remote Data Engineer jobs?

Cities near Perris, CA with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Perris, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $132,257 per year, or $63.6 per hour.

Principal Product Engineer - Imagery & Remote Sensing

Esri

Redlands, CA

$120K - $193K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

Overview
Esri's imagery and remote sensing capabilities have expanded significantly across products including ArcGIS Pro, ArcGIS Enterprise, and ArcGIS Online. We are seeking individuals with experience applying remote sensing data and ArcGIS to solve complex problems and generate insights in areas such as agriculture, earth science, climate monitoring, conservation, and environmental studies. Ideal candidates have worked with ArcGIS to process, manage, and analyze imagery at scale and are passionate about advancing remote sensing workflows through modern analytical techniques, including machine learning and geospatial AI.
In this role, you will apply your expertise in imagery and remote sensing, combined with a strong engineering background, to help our Software Products team design and deliver innovative solutions for geospatial analysis using data from satellites, aerial platforms, and UAS devices. You will work closely with development and product leads to build capabilities that support advanced image management, visualization, and analysis while driving innovation across multispectral, multidimensional, hyperspectral, and SAR workflows. This is an exciting opportunity to shape the future of remote sensing technology and expand how airborne, spaceborne, and terrestrial data are leveraged across a wide range of GIS applications and industries.
Responsibilities
  • Collaborate with software developers on software project teams to design, develop, and release product updates which innovate and advance ArcGIS remote sensing capabilities
  • Design, test, and validate recommended patterns and practices which communicate how users can best leverage ArcGIS remote sensing advancements
  • Work with other lead engineers to develop product update roadmaps and schedules based on understanding and prioritizing user issues, requests, and feedback
  • Act as a subject matter expert for multiple products and be available as a technical point of contact for internal and external knowledge sharing and education
  • Support technology demonstrations and presentations for industry events
  • Work across engineering teams to coordinate and align development planning and roadmaps for broad reaching projects like Geospatial AI
  • Help manage software development priorities and manage user expectations through active communication and coordination
  • Understand, test, and communicate deployment patterns and recommended configurations for highly scalable imagery and remote sensing systems based on ArcGIS
  • Research, prototype, and recommend new approaches for AI-enabled image analysis, raster analytics, and imagery workflows, including emerging foundation models and embeddings

Requirements
  • 8+ years of experience in remote sensing, image processing, or image analysis
  • Strong expertise with GIS concepts and extensive experience using ArcGIS platform technologies
  • Demonstrated ability to conduct applied research and rapidly prototype analytical workflows using Python
  • Excellent written and verbal communication skills, with the ability to clearly communicate technical concepts to diverse audiences
  • Bachelor's degree in computer science, Geography, Remote Sensing, Geophysics, Geomatics, or a related field

Recommended Qualifications
  • Master's degree in computer science, Geography, Remote Sensing, Geophysics, Geomatics, or a related field
  • Experience processing and analyzing remote sensing data using modern computer vision, AI, and machine learning techniques
  • Knowledge of managing and analyzing multispectral, hyperspectral, SAR, thermal, and other remote sensing data
  • Experience automating imagery workflows using ArcPy, the ArcGIS API for Python, or similar tools
  • Familiarity with cloud platforms such as Azure and AWS for managing and processing geospatial imagery
  • Understanding of imagery management best practices, industry standards (OGC, STAC, COG), and modern data storage strategies
  • Experience working on research, product, or software development teams focused on remote sensing and integrating ArcGIS imagery capabilities with enterprise systems

#LI-TA1
#LI-Onsite
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$120,640-$193,752 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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