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

Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

... GCP, or Azure. • Experience in design and implementation of robust and highly scalable Data ... Engineering, Software Engineering, Electrical Engineering, Math, Physics or a related field • ...

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 ...

Immediate Hiring | Python Data Engineer / API Developer We are hiring experienced Python Data ... If you have strong expertise in PySpark, GCP, and scalable API development, we'd love to connect ...

Data Engineer

Flagstaff, AZ · On-site

$114K - $137K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Mesa, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Chandler, AZ · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Glendale, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Tucson, AZ · On-site

$106K - $127K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/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 ...

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

Role: Data Engineer Location: Phoenix, AZ onsite Job Type: Contract * Experience with strong data engineering and big data concepts (Hadoop, SQL, Hive) * Hands-on experience with PySpark and Python

Data Engineer

Phoenix, AZ · On-site

$55 - $65/hr

Data Engineer Location: Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5:00 PM Benefits: This position is eligible for medical, dental, vision, and 401(k) . Pay: 55$ - 65$ an ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5:00 PM Benefits: This position is eligible for medical, dental, vision, and 401(k). Pay: 55$ - 65$ an ...

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across ...

Showing results 21-40

Data Engineer Gcp Data Engineer information

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 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 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 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 popular job titles related to Data Engineer Gcp Data Engineer jobs in Arizona?

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

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

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

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

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

Infographic showing various Data Engineer Gcp Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Viasat

Tempe, AZ • On-site

$111K - $133K/yr

Full-time

Re-posted 24 days ago


Viasat rating

6.3

Company rating: 6.3 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

78th of 98 rated telecommunications companies


Job description

Job Summary:
Viasat is a company on a mission to deliver transformative global connections. They are seeking a Data Engineer to build infrastructure and tools for data collection and processing, enabling data access for various use cases and supporting the growth of the company.
Responsibilities:
• own core components of data ingestion and integration processing that intakes :4 billon events per hour with data volume in excess of 30TB per day
• design and implement new features and enhancements to our data platform to advance component architecture towards strategic data governance/management objectives
• provide ongoing support, monitoring, and maintenance of deployed products
• monitor emerging technologies/technology practices for potential use within the Company
Qualifications:
Required:
• 5+ years software development experience using at least two of the following: Java, Scala, Python, C or C++.
• Familiarity with RDBMS technologies (PostgreSQL, MySQL, Oracle, etc.)
• Experience in Linux based systems, docker, and code versioning tooling (Git/CI/CD).
• Familiarity with at least one cloud provider such as AWS, GCP, or Azure.
• Experience in design and implementation of robust and highly scalable Data services
• Reliable teammate with the ability to handle different projects simultaneously in a fast-paced multifaceted agile work environment.
• BS or equivalent experience in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Math, Physics or a related field
• Ability to travel up to 10%
• Strong analytical abilities
• US Citizenship required
Preferred:
• Understanding of distributed and parallel computing architectures
• Experience with scaled data environments and Streaming technologies like Kafka and Spark
• Expertise in Scala and/or Java
• Working experience in design, development, and implementation of highly scalable, scaled software systems and components, client-facing web applications and systems as a full stack developer using one of the following: Java, Python, or Scala
Company:
Viasat is a global communications company that offers satellite services. Founded in 1986, the company is headquartered in Carlsbad, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Viasat employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


ViaSat logo

About ViaSat

Sourced by ZipRecruiter

At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate.

Industry

Telecommunications

Company size

5,001 - 10,000 Employees

Headquarters location

Carlsbad, CA, US

Year founded

1986