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

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Remote Amazon Data Engineer information

See Irvine, CA salary details

$47.8K

$139.2K

$190.5K

How much do remote amazon data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote amazon data engineer in Irvine, CA is $139,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $147,600.00 per year, depending on experience, location, and employer.

What does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

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

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

What job categories do people searching Remote Amazon Data Engineer jobs in Irvine, CA look for?

The top searched job categories for Remote Amazon Data Engineer jobs in Irvine, CA are:

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

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

Infographic showing various Remote Amazon Data Engineer job openings in Irvine, CA as of June 2026, with employment types broken down into 81% Full Time, 7% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $139,236 per year, or $66.9 per hour.

VP Developer Platform Engineering - Remote

Experian

Costa Mesa, CA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

Experian is looking for a Vice President of Dev Platform Engineering to lead the strategy and direction for its enterprise developer platform and AI-powered engineering capabilities. You will define the standards, roadmap, and governance for software delivery platforms, developer tooling, and AI solutions that improve how engineering teams build and deliver software across the company.

This is a Remote position. You will report to the Head of DevEx & AI Tooling.

You will have opportunity to:

  • Lead the strategy and roadmap for the enterprise developer platform and AI engineering capabilities.
  • Define standards for CI/CD, cloud platforms, developer tooling, and secure software delivery.
  • Guide the adoption of AI-enabled software development tools, governance, and reusable AI solutions.
  • Partner with engineering, security, cloud, and developer experience teams to deliver a consistent platform.
  • Manage a global organization through senior leaders and develop high-performing engineering teams.
  • Own platform performance, adoption metrics, budgets, vendor investments, and product priorities.
  • Establish engineering standards that improve software delivery speed, quality, security, and developer experience.
  • Evaluate build-versus-buy decisions and drive continuous improvement across the engineering platform.
Qualifications
  • 8+ years in technology roles
  • 5+ years in senior leadership roles
  • Senior Leadership experience in Platform Engineering
  • Hands-on depth, even if not current day-to-day: CI/CD platform authoring (Harness and/or GitHub Actions)
  • Cloud-native infrastructure at production scale in at least one major provider
  • Implementation-level familiarity with Claude Code and the MCP protocol
  • Working familiarity with security tooling concepts (SAST, SCA, secrets scanning, SBOM, artifact signing) sufficient to direct integration work and partner effectively with a dedicated security team
  • Experience defining engineering standards and developer platforms within large, matrixed organizations.
  • Experience owning or leading the use of AI developer tools, AI governance, and modern software development practices.

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://myexperianbenefits.com/

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.

Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers