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

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

You will partner with product, engineering, analytics, ML, finance, risk, and customer-facing teams to translate needs into durable data designs. This is a hands-on, remote role where you will both ...

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 ...

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 ...

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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Remote Data Engineer information

See Irvine, CA salary details

$47.5K

$138.5K

$189.5K

How much do remote data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data engineer in Irvine, CA is $138,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,200.00 and $146,800.00 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 Irvine, CA? The most popular types of Data Engineer jobs in Irvine, CA are:
What are popular job titles related to Remote Data Engineer jobs in Irvine, CA? For Remote Data Engineer jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Irvine, CA look for? The top searched job categories for Remote Data Engineer jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Remote Data Engineer jobs? Cities near Irvine, CA with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $138,478 per year, or $66.6 per hour.

Remote Data Analyst

Recruit Monitor

Long Beach, CA • Remote

Full-time

Posted 21 days ago


Job description

This position plays a supporting role in the modernization and transformation of the Annuity/Retirement Plan Services Valuation & Modeling team with new technology solutions. You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position provides a broad range of experiences and responsibilities, allowing for growth.What you'll be doing:

  • Supports and promotes change management and/or departmental/enterprise initiatives within assigned area(s) of responsibility.
  • Maintains knowledge on current and emerging developments/trends for assigned area(s) of responsibility.
  • Performs and delivers on routine assignments/projects for their assigned area(s) of responsibility.
  • Exports information from various applications/databases and uses analytical tools (i.e. SQL, MS Power BI, Tableau, Excel, etc.) to transform that data into meaningful reports and infographics.
  • Performs routine data mining, validation, and reconciliation of data across various applications.
  • Identifies and analyzes variances, and trends; researches inconsistencies/anomalies in the data and presents findings to management.
  • Develops creative charts, graphs and other visual aids in support of identifying trends to quantify performance of the business segment and to support decision making.
  • Performs what-if analysis in support of creating proposals for change and process improvement.
  • Develops queries and prepares data for diagnostic and predictive analytics.
  • Develops basic ad-hoc reports supporting projects and analysis.
  • Supports team members and/or management in developing basic recommendations to solve problem and issues related to identified trends and data insights.
  • Develops an understanding of best practices and suggests how to improve current practices

What we're looking for:Must haves:

  • 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of Bachelor's) (Minimum Required)
  • 0 - 1+ Years of experience in analytics that directly aligns with the specific responsibilities for this position (Required)

Nice-to-haves:

  • Demonstrated solid relationship management skills with internal clients (e.g. management, peers and colleagues).
  • Demonstrated ability to query and report off of SQL databases.
  • Experience with:
    • Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark
    • Coding with SQL, Hive, Python/R, SAS, VBA, etc.
  • Demonstrates excellent organizational skills with the ability to prioritize workload and multi-task while maintaining strict attention to detail.
  • Demonstrates strong interpersonal skills with a collaborative style.
  • Demonstrates the ability to use sound judgment and discretion regarding confidential information.
  • Finds common ground and can gain collaboration among management, colleagues and peers.