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Google Software Jobs in Arizona (NOW HIRING)

Intraedge

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Data Engineer (Day 1 onsite - Hybrid 3 days a week in office) Location ... Hands-on expertise with application design and software development in Big Data (Spark(Pyspark ...

Deloitte

Google AI Architect

Gilbert, AZ · On-site

Should have experience in leveraging various GenAI tools to accelerate software development life ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Architect

Tempe, AZ · On-site

Should have experience in leveraging various GenAI tools to accelerate software development life ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$49 - $53/hr

Software Engineer, AI-Powered Data Platforms (Google Cloud) We are not accepting C2C or 1099 arrangements. Location: Chandler, AZ; Charlotte, NC; Minneapolis, MN; Irving, TX (Hybrid) About the Role ...

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$38 - $41/hr

Data Engineer - Google Cloud Platform (Contingent Assignment) We are not accepting C2C or 1099 ... Collaborate with software engineers, architects, product teams, and business stakeholders to ...

InfiCare

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Data Engineer Location: Phoenix, AZ Job Type: Contract (Long Term) Experience: Senior Level Job Overview Our client is seeking a Senior Google Cloud Platform Data Engineer to ...

Motion Recruitment

Software Engineer - GCP, AI

Phoenix, AZ · Hybrid

$108K - $129K/yr

A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC, Irving ... Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest ...

Tror AI for everyone

Software Engineer

Chandler, AZ · On-site

Job Role: Software Engineer Job Location: Chandler, Arizona (100% Onsite) Job Type: Contract ... as Google, Azure, or PCF. * A certification in Cloud a plus. experience in Financial Industry a ...

Judge Group, Inc.

Specialty Software Engineer

Phoenix, AZ · On-site

$76 - $81/hr

The ideal candidate has deep expertise in Google Cloud Platform (Google Cloud Platform), big data ... software engineering disciplines. * 5+ years of hands-on experience with Hadoop and cloud-based ...

Nucleusteq

Software Developer

Phoenix, AZ · On-site

Software Developer Position is for a Software Developer (internal title: Technical Lead ... Talend, Apache NiFi, Informatica MDM, PostgreSQL, Snowflake, Google BigQuery, Kafka, MQ, SQL ...

NucleusTeq

Software Developer

Phoenix, AZ · On-site +1

Software Developer Position is for a Software Developer (internal title: Technical Lead ... Talend, Apache NiFi, Informatica MDM, PostgreSQL, Snowflake, Google BigQuery, Kafka, MQ, SQL ...

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All JobsGoogle Software JobsGoogle Software Jobs in Arizona

Google Software information

See Arizona salary details

$44.7K

$104.2K

$154.7K

How much do google software jobs pay per year?

As of Sep 6, 2026, the average yearly pay for google software in Arizona is $104,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $121,100.00 per year, depending on experience, location, and employer.

What does a Google software engineer do?

A Google Software Engineer designs, develops, tests, and maintains software products and systems that power Google's wide range of services. They work on complex technical challenges, collaborate with cross-functional teams, and contribute to the scalability, performance, and security of Google's infrastructure. Their responsibilities may include writing code, debugging, reviewing peers' work, and participating in the design of innovative solutions.

What are the key skills and qualifications needed to thrive as a Google software engineer?

To thrive as a Google Software Engineer, you need strong programming skills in languages like Python, Java, or C++, a solid understanding of algorithms and data structures, and typically a degree in computer science or a related field. Familiarity with development tools such as Git, cloud platforms like Google Cloud, and experience with distributed systems are commonly required. Standout soft skills include problem-solving, collaboration, and effective communication, which are vital for working in cross-functional teams. These competencies enable engineers to build scalable, reliable products and contribute effectively to Google's innovative environment.

How does a Google software engineer typically collaborate with cross-functional teams during a project?

Software Engineers at Google frequently work alongside cross-functional teams that may include product managers, UX designers, quality assurance engineers, and data scientists. Collaboration often involves regular stand-up meetings, code reviews, and brainstorming sessions to align on project goals, share technical progress, and resolve challenges efficiently. This team-driven approach not only enhances product quality but also provides engineers with opportunities to learn from diverse perspectives and expand their skill set. Effective communication and a willingness to give and receive feedback are key to thriving in this collaborative environment.

What is the difference between Google Software vs Google Software Engineer?

AspectGoogle SoftwareGoogle Software Engineer
Required CredentialsBachelor's degree in CS or related field, coding skillsBachelor's or higher in CS, strong coding skills, sometimes internships
Work EnvironmentProduct teams, collaborative, innovativeDevelopment teams, coding, debugging, designing
Employer & Industry UsageGoogle's internal roles, tech industryGoogle's official job title, tech industry standard
Search & Comparison IntentGeneral roles at Google, non-specificSpecific coding and development roles at Google

Google Software typically refers to roles involving software development at Google, often used broadly for various technical positions. Google Software Engineer is a specific job title for a developer working on Google's products, requiring coding skills and technical expertise. While both involve software development, the Software Engineer role is more defined and formalized within Google's hiring structure.

Does Google still hire software engineers?

Yes, Google continues to hire software engineers regularly to support its products and services. The company seeks candidates with strong coding skills, experience in algorithms and data structures, and proficiency in programming languages like Python, Java, or C++. Job openings are available across various locations and levels, often requiring a technical interview process.
Google Software jobs near you
Infographic showing various Google Software job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $104,227 per year, or $50.1 per hour.

Software Engineer - Google Cloud Platform, AI

Motion Recruitment Partners, LLC

Phoenix, AZ • On-site

Other

Posted 26 days ago

Job description

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC, Irving, TX, or Phoenix, AZ (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience
  • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • Google Cloud Platform - 5 to 6 yrs.
  • AI exposure - 6 months to a year
  • Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
  • 5+ years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
  • 3+ years of experience with Data Lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, Big Query, Data Proc, Cloud Composer
  • Hands-on experience developing data flows using Kafka, Flink, and Spark streaming

What You Will Be Doing
  • Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables.
  • Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors.
  • Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.
  • Collaborate with client personnel in Software Engineering.
  • Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
  • Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc.
  • Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority
  • Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
  • 5+ years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
  • 3+ years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, Cloud Composer
  • Hands-on experience developing data flows using Kafka, Flink, and Spark streaming

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