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Data Engineer Gcp Data Engineer Jobs in Arizona (NOW HIRING)

Prophecy Technologies

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Role: GCP Data Engineer (Data Engineering & Analytics / Cloud Migration) Location: phoenix , AZ / Philadelphia , PA Competencies Must-Have: Strong experience in GCP (Google Cloud Platform) data ...

Donato Technologies, Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

GCP Data Engineer role Phoenix, AZ Need a Vedio screening Required skills • BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience ...

Prophecy Technologies

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Role: GCP Data Engineer (Data Engineering & Analytics / Cloud Migration) Location: phoenix , AZ / Philadelphia , PA Competencies Must-Have: Strong experience in GCP (Google Cloud Platform) data ...

United IT

Senior data engineer

Phoenix, AZ · On-site

$105.20K - $143K/yr

ANSI-SQL, GCP Big Query, Scala Role Focus: Hands-on data engineering with Spark, Scala, Python, and cloud platforms such as GCP; AWS knowledge is an advantage. Position Overview We are seeking a ...

Concord IT Systems

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

GCP Data Engineer Job Location: Phoenix, AZ Job Type: Contract Experience : 9 years Job Requirements: * Looking for a Senior Software Engineer with strong analytical skills to help build and enhance ...

E-Solutions

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

GCP Data Engineer Location: Phoenix, Arizona Duration: Long Term Working knowledge on Big Query Hands on experience on Dataproc Javapython programming language Good Experience on Bigtable Good to ...

Futran Tech Solutions Pvt. Ltd.

GCP Data Engineer

Phoenix, AZ · On-site

$111.40K - $133.80K/yr

GCP AI Vertex Data Engineer Location: Phoenix, AZ / Scottsdale (day one onsite) Type: Contractor Pay - 70/hr JOB SUMMARY PRINCIPAL DUTIES GCP AI Vertex Data Engineer A solid experience and ...

InterSources

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

GCP Data Engineer Location: Phoenix, AZ Job Type: Contract * A solid experience and understanding of considerations for large-scale solutioning and operationalization of data warehouses, data lakes ...

Kaav Inc.

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

... Data Engineering with an emphasis on Data Warehousing and Data Analytics * Very strong hands on Python expertise * Strong Data and GCP Vertex AI knowledge * 6 years of experience with one of the ...

Samprasoft

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Experience Skills Qualifications: * 6 years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics * Very strong hands on Python expertise * Strong Data and GCP ...

Staffingine LLC

Senior GCP Data Engineer

Phoenix, AZ · On-site

$105.20K - $143K/yr

Senior GCP Data Engineer Job Location: Phoenix, AZ Job Type: Contract Data Engineering & Pipelines * Design and develop batch and streaming pipelines using Dataflow (Apache Beam) * Build real-time ...

MST Solutions

Data Engineer

Phoenix, AZ · On-site

$109.80K - $131.80K/yr

Data Engineer Responsibilities: * Design, build, and maintain scalable and efficient data pipelines ... Hands-on expertise with GCP product offerings. * In-depth knowledge of Google big data technologies.

MST Solutions

Data Engineer

Phoenix, AZ · On-site

$109.80K - $131.80K/yr

Proven experience as a Data Engineer with a focus on big data ... Hands-on expertise with GCP product offerings. * In-depth knowledge of Google big data technologies.

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Data Engineer Gcp Data Engineer information

What are the key skills and qualifications needed to thrive as a GCP Data Engineer, and why are they important?

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 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 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.

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Data Engineer Gcp Data Engineer jobs near you

GCP Data Engineer

Prophecy Technologies

Phoenix, AZ • On-site

$113.70K - $136.50K/yr

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This job post has expired today. Applications are no longer accepted.

Job description

Role: GCP Data Engineer (Data Engineering & Analytics / Cloud Migration)
Location: phoenix , AZ / Philadelphia, PA
Competencies
Must-Have:
Strong experience in GCP (Google Cloud Platform) data engineering and analytics solutions
Proven expertise in migrating legacy data warehouses to Google Cloud data warehouses (BigQuery)
Hands-on experience with ETL/ELT pipeline design, data modeling, and data integration in GCP
Proficiency in Python, SQL, and data transformation frameworks (e.g., Dataflow, Dataproc, or Apache Beam)
Experience with Google Cloud Storage, BigQuery, and Pub/Sub for scalable data processing
Strong understanding of data governance, quality, and performance optimization
Good-to-Have:
Familiarity with CI/CD pipelines and DevOps practices in data environments
Experience in reporting and analytics tools (Looker, Power BI, Tableau)
Knowledge of Airflow, Cloud Composer, or similar orchestration frameworks
Prior experience in data warehouse modernization or cloud migration projects
Excellent communication and collaboration skills for cross-functional team coordination
Responsibilities
Lead the migration of legacy data warehouse systems to Google Cloud Platform (BigQuery)
Design, build, and optimize data pipelines and ETL/ELT processes for scalable cloud-based data processing
Implement data architecture best practices to ensure performance, scalability, and reliability
Work closely with stakeholders to define data models, governance standards, and quality checks
Collaborate with analytics teams to ensure data availability for reporting and business intelligence
Monitor, troubleshoot, and enhance data workflows using GCP-native tools and DevOps principles
Support data validation, testing, and documentation throughout migration phases
Drive continuous improvement in data engineering processes and platform efficiency

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