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Data Engineer Gcp Data Engineer Jobs in Ladera Ranch, CA

Data Engineer II

Aliso Viejo, CA · Remote

$122K - $146K/yr

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 ...

Senior Data Engineer

Costa Mesa, CA · On-site

$166K - $220K/yr

Experience with AWS, Azure, or GCP security ecosystem, containerization, and associated tooling * Knowledge of data & visualization tools, such as Tableau * Understand the importance of engineering ...

Big Data Engineer

Costa Mesa, CA · On-site

$59 - $78.25/hr

Big Data Engineer Location: Costa Mesa, CA or Allen, TX Duration: Fulltime Big Data Engineer Must Have Technical/Functional Skills Big Data, PySpark, AWS (EMR, SageMaker, DunamoDB) Roles ...

BAU_L3-Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

Job Summary : ClifyX is seeking an experienced Data Engineer with a strong background in Asset Management to lead enterprise-scale data engineering initiatives. The ideal candidate will be ...

Data Engineer

Oceanside, CA · On-site

$111K - $206K/yr

A Bachelor's degree in Informatics, Engineering, or a related field. A Master's degree or equivalent experience would be preferred. * Experience: 7+ years of industry experience in a data-centric ...

New

Big Data Engineer

Costa Mesa, CA · On-site

$59 - $78.25/hr

Big Data Engineer Location: Costa Mesa, CA or Allen, TX Duration: Fulltime Big Data Engineer Must Have Technical/Functional Skills Big Data, PySpark, AWS (EMR, SageMaker, DunamoDB) Roles ...

Lead Data Engineer

Irvine, CA · On-site

$110K - $144K/yr

Lead Data Engineer - MSS Irvine, CA Fulltime Lead Data Engineer - MSS Must Have Technical/Functional Skills Data Bricks , EBT ,Airflow , Asset Management exp Roles & Responsibilities Lead Data ...

Data Engineer II

Aliso Viejo, CA · On-site

$150 - $225/hr

Data Engineer II Aliso 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 ...

New

Data Engineer II

Aliso Viejo, CA · On-site

$150K - $225K/yr

Data Engineer II Aliso 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 ...

Data Engineer III

Newport Beach, CA · On-site

$70 - $75/hr

Our client is currently seeking a Data Engineer III TECHNICAL SKILLS Must Have Minimum 1year hands on experience (not just training or POC) in using Git and Python Minimum 2 year hands on ETL ...

Lead Data Engineer

Tustin, CA · On-site

$180K - $190K/yr

Lead Data Engineer (EDO Platform Engineering Lead) Location: Irvine, CA Salary: $180,000-$190,000 About the Role We are seeking an experienced Lead Data Engineer / EDO Platform Engineering Lead to ...

Data Engineer III, Cloud

Fountain Valley, CA · On-site

$125K - $150K/yr

Data Engineer III, Cloud We are searching for an experienced Data Engineer III, Cloud at our Headquarters facility. Hyundai MOBIS Parts America We think creatively and keep challenging ourselves to ...

Senior Data Engineer

Irvine, CA · On-site

$113K - $154K/yr

As a Sr. Data Engineer, you will help us refactor and move the existing ETL/ELT and analytics pipelines into the new environment, migrate the underlying data, and validate that everything lands ...

Showing results 41-60

Data Engineer Gcp Data Engineer information

See Ladera Ranch, CA salary details

$47.3K

$137.9K

$188.7K

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

As of Sep 5, 2026, the average yearly pay for data engineer 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 GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

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

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

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

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

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

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

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