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Data Engineer Gcp Data Engineer Jobs in California

SR. Data Engineer

San Diego, CA ยท On-site +1

$121K - $146K/yr

Senior Data Engineer Cupertino, CA or Austin, TX Onsite role Must have strong Python and SQL and ... Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage.

Data Engineer II

Long Beach, CA ยท On-site

$125K - $150K/yr

Eleven Recruiting is seeking a Data Engineer II for one of our largest aerospace manufacturing ... GCP, Azure). โ€ข Experience with Knowledge of data governance and security practices. โ€ข ...

Demonstratedproficiencyinleveragingcloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.

Data Engineer

City Of Industry, CA

$115K - $138K/yr

We're looking for a hands-on Data Engineer who is comfortable owning data workflows end-to-end ... AWS, Azure, GCP, or DigitalOcean infrastructure experience. * Experience with container registries ...

Data Engineer

Sunnyvale, CA ยท On-site

$136K - $163K/yr

... data solution in Hadoop using Hive, Spark, Drill, Impala, HBase3 ... Hands on experience with Unix, GCP and other relational databases. Experience with @Scale a plus.4. ...

Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.

Principal Data Engineer

Thousand Oaks, CA ยท On-site

$159 - $216/hr

Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.

New

... AWS, GCP, or Azure Familiarity with data orchestration frameworks and pipeline management tools ... developer tooling, internal platforms, or automation scripting Ability to ramp up quickly, take ...

Software Data Engineer

Cupertino, CA ยท On-site

$150 - $278/hr

Some exposure to microservices architecture and cloud platforms such as AWS, GCP, or Azure ... data pipelines * Some exposure to developer tooling, internal platforms, or automation scripting

Data Engineer

Carlsbad, CA ยท On-site

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Familiarity with at least one cloud provider such as AWS, GCP, or Azure. * Experience in design and ...

DATA ENGINEER

California City, CA ยท On-site

$140K - $168K/yr

Data Engineer Banking (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial ...

Data Engineer

Tracy, CA ยท On-site

$123K - $148K/yr

Data Engineer Duties: Apply proven expertise and build high-performance, scalable data warehouse application Securely source external data from numerous global partners Intelligently design data ...

Data Engineer

Tracy, CA ยท On-site

$123K - $148K/yr

Data Engineer Duties: Apply proven expertise and build high-performance, scalable data warehouse application Securely source external data from numerous global partners Intelligently design data ...

Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

Cloud data engineering experience (GCP or AWS - object storage, serverless triggers, batch processing) * Comfort operating as an early team member - high ownership, low ego, fast iteration ...

Data Engineer

San Francisco, CA

$134K - $162K/yr

Cloud data engineering experience (GCP or AWS - object storage, serverless triggers, batch processing) * Comfort operating as an early team member - high ownership, low ego, fast iteration ...

Data Engineer

Sunnyvale, CA ยท On-site

$134K - $161K/yr

Data Engineer(SQl, Python) Location: Sunnyvale, CA (onsite) Job Type: full time Must Have Technical/Functional Skills * 8+ years of professional experience in data engineering or backend data ...

Data Engineer

San Diego, CA ยท On-site

$122K - $130K/yr

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the enterprise data platform that powers analytics, reporting, and advanced data use cases across the ...

Senior Data Engineer

Sunnyvale, CA ยท On-site

$124K - $169K/yr

Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning. * Knowledge of CI/CD pipelines for data and ML workflows.

Data Engineer

San Diego, CA ยท On-site

$122K - $130K/yr

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the enterprise data platform that powers analytics, reporting, and advanced data use cases across the ...

Showing results 41-60

Data Engineer Gcp Data Engineer information

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 are popular job titles related to Data Engineer Gcp Data Engineer jobs in California?

For Data Engineer Gcp Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in California look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in California are:

What cities in California are hiring for Data Engineer Gcp Data Engineer jobs?

Cities in California with the most Data Engineer Gcp Data Engineer job openings:

SR. Data Engineer

San Diego, CA โ€ข On-site, Remote

Apex Informatics
IT Servicesย โ€ขย 1 - 10 employees

$121K - $146K/yr

Other

Re-posted 16 hours ago


Job description

Senior Data Engineer
Cupertino, CA or Austin, TX
Onsite role
Must have strong Python and SQL and take a code pad test we will give them before submittal. Also, must have Airflow Scala, Kafka and or Spark.
We are seeking an experienced, detail-minded data engineer to support Apple's worldwide business development and strategy team. If you are someone who looks forward to solving complex business problems and is excited about this opportunity, please reach out to us.
Requirements
  • 6+ years software engineering, including strong SQL and data focus
  • Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino, Kafka
  • Ability to analyze complex datasets and design solutions with optimum quality and efficiency
  • Familiarity with SDLC best practices, version control, CI/CD

Description
You will architect, develop, and test large scale and efficient solutions that provide Apple leadership with the accurate data required to rapidly understand and adapt to changing business conditions.
  • Design and implement scalable, efficient, and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability
  • Create data products, enabling self-service and predictability by any consumer
  • Build libraries and frameworks that drive leverage and productivity for the entire team
  • Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence

We are a rapidly growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams.
Preferred Qualifications
  • BS or MS in Engineering/ Computer Science
  • Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage.
  • Knowledge of infrastructure as code (e.g., Terraform) and container orchestration tools (e.g., Kubernetes).