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Remote Gcp Data Engineer Jobs in Ladera Ranch, CA

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 ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Senior Data Engineer Position: Full time Location ... Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ...

IQVIA

Senior Data Team Lead (Remote)

Anaheim, CA · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Strong understanding of GCP, ICH, and clinical research processes. * Excellent communication and ...

IQVIA

Senior Data Team Lead (Remote)

Anaheim, CA · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Strong understanding of GCP, ICH, and clinical research processes. * Excellent communication and ...

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Remote Gcp Data Engineer information

See Ladera Ranch, CA salary details

$47.3K

$137.9K

$188.7K

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

As of Sep 5, 2026, the average yearly pay for remote gcp data engineer in Ladera Ranch, CA is $137,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $146,200.00 per year, depending on experience, location, and employer.

What is a remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

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

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

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

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What are the most commonly searched types of Gcp Data Engineer jobs in Ladera Ranch, CA?

The most popular types of Gcp Data Engineer jobs in Ladera Ranch, CA are:

What job categories do people searching Remote Gcp Data Engineer jobs in Ladera Ranch, CA look for?

The top searched job categories for Remote Gcp Data Engineer jobs in Ladera Ranch, CA are:

What cities near Ladera Ranch, CA are hiring for Remote Gcp Data Engineer jobs?

Cities near Ladera Ranch, CA with the most Remote Gcp Data Engineer job openings:

Remote Gcp Data Engineer jobs near you
Infographic showing various Remote Gcp Data Engineer job openings in Ladera Ranch, 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 $137,893 per year, or $66.3 per hour.

Data Engineer II

PlayStation Global

Aliso Viejo, CA • Remote

$122K - $146K/yr

Full-time

Posted 9 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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