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Data Engineer Gcp Data Engineer Jobs in Phoenix, AZ

Shutterfly

Principal Data Engineer

Tempe, AZ · On-site

$111.40K - $133.80K/yr

Principal Data Engineer At Shutterfly, we make life's experiences unforgettable. We believe there ... cloud platforms (GCP, Azure) * Hands-on experience with Databricks and modern lakehouse ...

Viasat

Data Engineer

Tempe, AZ · On-site +1

$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 ...

RIT Solutions, Inc.

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Data Engineer 3 days Phoenix, As a Data Engineer at our client, you will play a crucial role in designing, building, and maintaining the data architecture that powers our analytical and operational ...

RIT Solutions

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Data Engineer As a Data Engineer at our client, you will play a crucial role in designing, building, and maintaining the data architecture that powers our analytical and operational capabilities. You ...

Cynet Systems

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Data Engineering Manager Design, develop, and maintain scalable, production-grade ELT pipelines using Snowflake and dbt (Core or Cloud). Lead technical design discussions and provide architectural ...

Donato Technologies, Inc

GCP Cloud Architect

Phoenix, AZ · On-site

$64.50 - $82.25/hr

Proficient in Google Cloud Platform and should have deep understanding of its managed offerings, GCP Data Engineer certification is plus. * Hands on experience in GCP BigQuery, Orchestration using ...

Shutterfly

Principal Data Engineer

Tempe, AZ · On-site

$111.30K - $133.70K/yr

Shutterfly is looking for a Principal Data Engineer to join their team! As part of the Data ... cloud platforms (GCP, Azure) * Hands-on experience with Databricks and modern lakehouse ...

Shutterfly

Principal Data Engineer

Tempe, AZ

$111.30K - $133.70K/yr

Shutterfly is looking for a Principal Data Engineer to join their team! As part of the Data ... cloud platforms (GCP, Azure) * Hands-on experience with Databricks and modern lakehouse ...

Deloitte

Sr Databricks Data Engineer

Tempe, AZ

$100.10K - $137.40K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Dlapiper

Data Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

FlexTG

Data Engineer

Mesa, AZ · Hybrid

$113.60K - $136.40K/yr

Description Data Engineer (Microsoft Fabric) About FlexTG FlexTG is the largest Brand-Neutral Managed Print Services provider with an industry-leading nationwide footprint. We are service and ...

Judge Group, Inc.

Data Engineer

Scottsdale, AZ · Remote

$60 - $70/hr

Data Engineer Location: Scottsdale, AZ Remote: NO Length: 6 months (potential contract to hire) Contact: Brian Merin; ; Summary: Leads the design and implementation of data infrastructure, driving ...

Prophecy Technologies

Senior Data Engineer

Phoenix, AZ · On-site

$105.20K - $143K/yr

Role Overview: The Senior Data Engineer will design, develop, and maintain scalable Big Data ... Architect and implement data solutions on Google Cloud Platform (GCP) using services such as ...

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All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Phoenix, AZ

Data Engineer Gcp Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

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

As of May 28, 2026, the average yearly pay for data engineer gcp data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Phoenix, AZ? For Data Engineer Gcp Data Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Data Engineer Gcp Data Engineer jobs in Phoenix, AZ look for? The top searched job categories for Data Engineer Gcp Data Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Data Engineer Gcp Data Engineer jobs? Cities near Phoenix, AZ with the most Data Engineer Gcp Data Engineer job openings:
Data Engineer Gcp Data Engineer jobs near you
Big Data Engineer with mapreduce , spark , hive , sql

Big Data Engineer with mapreduce , spark , hive , sql

Syntricate Technologies

Phoenix, AZ • On-site

$55.25 - $73.25/hr

Other

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

Job description

Big Data Engineer

Big Data Engineer with mapreduce, spark, hive, sql Location: Phoenix, AZ (Onsite) Duration: C2C Contract Experience: 8+ Years

Job Description

Big Data Engineer with mapreduce, spark, hive, sql

  • Expert in SQL and data warehousing concepts.
  • Hands-on experience with public cloud data warehouse (GCP, Azure, AWS).
  • GCP certification will be very good to have.
  • MapR experience is must
  • Strong hands on experience with one or more programming languages (Python or Java).
  • Hands-on expertise with application design and software development in Big Data (Spark(Pyspark), HIVE).
  • Experience with CICD pipelines, automated test frameworks, DevOps and source code management tools (XLR, Jenkins, Git, Maven).
  • Strong communication and analytical skills including effective presentation skills.
  • Familiarity with Agile & scrum ceremonies.
  • BigData and Hadoop Ecosystems, BigData and Hadoop Ecosystem - MapR

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