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

PlayStation Global

Data Engineer II

Aliso Viejo, CA · Remote

$122K - $146K/yr

Data Engineer IIAliso Viejo, CA The Data Engineering Team fuels real-time, intelligent data ... with geographically remote teams * Experience with Amazon Web Services at enterprise scale ...

NextDeavor Inc.

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 ...

PTP

Software Engineer - REMOTE

CA · On-site +1

Lift and shift as well as cloud native implementations on Amazon AWS * Fluent in java programming and be comfortable with stateful web applications Desired Experience * GitLab, Jenkins, IntelliJ.

PTP

Software Engineer - REMOTE

Newport Beach, CA · Remote

Lift and shift as well as cloud native implementations on Amazon AWS * Fluent in java programming and be comfortable with stateful web applications Desired Experience * GitLab, Jenkins, IntelliJ.

PTP

DevOps Engineer - REMOTE

CA · On-site +1

... Engineer to help us design and deliver CX solutions that provide our clients with a beautiful ... Amazon CloudWatch, EC2, Elastic Load Balancing and CodePipeline * Operations administration with ...

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All JobsAmazon Data Engineer JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Irvine, CA

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 are popular job titles related to Remote Amazon Data Engineer jobs in Irvine, CA?

For Remote Amazon Data Engineer jobs in Irvine, CA, the most frequently searched job titles 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:

Remote Amazon Data Engineer jobs near you
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.

Data Engineer II

PlayStation Global

Aliso Viejo, CA • Remote

$122K - $146K/yr

Full-time

Posted 8 days ago

Job description

Data Engineer IIAliso Viejo, CA

The Data Engineering Team fuels real-time, intelligent data insights for PlayStation's Cloud Streaming offering. In this role, you'll collaborate closely with teams across PlayStation to deliver a scalable and reliable data platform that drives a data-first culture and outlook.

As a Data Engineer II, you will develop and maintain server-side applications for shaping, managing, and transforming data on a large geographically distributed infrastructure for PlayStation. Your work will include developing JVM based applications using Kotlin, Scala, or Java, Flink jobs, and APIs to provide real time data and insights across the Cloud Streaming ecosystem to ensure seamless data flow throughout our data pipeline. You will also work closely with our Business Intelligence team to translate product requirements to usable insights that fuel our business decisions. You bring passion and expertise to continuously improve the value that our data platform provides to data producers and consumers across the organization, providing tooling, standard methodologies, and state-of-the art technology to empower data-driven decisions to the company. You are self-motivated and thrive in a distributed team environment - comfortable taking initiative, handling your own work, and collaborating effectively across time zones and communication channels, embodying our one team mantra!

Responsibilities
  • Design and implement middleware and backend systems capable of handling high throughput and load
  • Develop and maintain stream processing jobs using Flink (stateful / stateless), and implement scalable ETL jobs that enable our partners and customers to glean intelligent insight
  • Optimize performance, reliability, and monitoring of the data pipeline stack
  • Support migration efforts of our on-premises Kafka to new cloud technologies
  • Perform in-depth analysis of functional or business requirements
  • Contribute to architectural decisions for PlayStation's cloud streaming data pipeline
  • Liaise with Business Intelligence and product domain teams to help turn data into information, and information into business value
Required Qualifications
  • Bachelor's or Master's degree in Computer Science or a related field or equivalent practical experience
  • 3+ years of experience in software development and backend engineering developing and maintaining high throughput and concurrent systems with high availability and fault tolerance
  • Proficient in JVM Languages (Kotlin, Scala, Java) and Python
  • Experience with Apache Kafka, Flink, Spark, and SQL
  • Knowledge of software paradigms like functional programming, object oriented programming, TDD
  • Knowledge of web technologies including REST, JSON, gRPC, and WebSockets
  • Expertise on data structures (JSON, Avro, Protobuf) as well as unstructured and semi-structured data
  • Experience with ETL, stream processing, real-time pipelines, and batch processing
  • Familiarity with software development tools and processes like Git and CI/CD
  • Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance and scalability
  • Self-motivated, strong interpersonal and communication skills; ability to work with geographically remote teams
  • Experience with Amazon Web Services at enterprise scale including, but not limited to, OpenSearch, MSK, and EKS is a plus 
  • Experience with Kubernetes, Docker, and cloud deployment technologies is a plus

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