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Google Programmer Jobs in Washington (NOW HIRING)

Google

Logistics Area Manager, Google Cloud

Reston, VA · On-site

... that enable developers to build the future. From software to hardware our teams are shaping the ... Google is proud to be an equal opportunity and affirmative action employer. We are committed to ...

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How much do google programmer jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for google programmer in Washington is $44.78, according to ZipRecruiter salary data. Most workers in this role earn between $29.13 and $58.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google Programmer position, and why are they important?

To thrive as a Google Programmer, you need expertise in computer science fundamentals, coding proficiency in languages such as Python, Java, or C++, and a relevant degree or equivalent experience. Familiarity with Google's development tools, cloud platforms like Google Cloud, and version control systems such as Git is usually expected. Strong problem-solving skills, effective communication, and the ability to collaborate in diverse, fast-paced teams are essential soft skills. These abilities enable programmers to tackle complex projects efficiently and contribute meaningfully to Google's innovative environment.

What engineers make $300,000 a year?

Senior software engineers, especially those working at major tech companies like Google, often earn $300,000 or more annually, including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced technical skills, and often involves roles in specialized areas such as machine learning, cloud computing, or engineering management.

Which country is no. 1 in software engineering?

As a Google programmer, the United States is often considered a leading country in software engineering due to its large tech industry, innovation hubs, and high demand for skilled developers. Countries like China, India, and Germany also have strong software engineering sectors, but the U.S. remains a top destination for tech talent and opportunities.

What does a typical workday look like for a Google Programmer?

As a Google Programmer, your workday typically involves collaborating with fellow engineers, product managers, and designers to plan, design, and implement new features or improve existing systems. You may spend significant time coding, participating in code reviews, attending daily stand-up meetings, and troubleshooting software issues. The role often encourages knowledge-sharing and cross-functional teamwork, offering exposure to a wide variety of projects and technologies. This dynamic environment supports continuous learning and professional growth, allowing you to expand your skillset while contributing to impactful products.

What engineers make $500,000?

Senior software engineers at top tech companies, including those working as Google programmers, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in programming and systems design, and often involves working in high-cost-of-living areas or at companies with competitive compensation packages.

How to work for Google as a programmer?

To work for Google as a programmer, candidates typically need a strong background in computer science, proficiency in programming languages like Python, Java, or C++, and experience with algorithms and data structures. A bachelor's degree in a related field is often required, and strong problem-solving skills are essential for technical interviews. Building a portfolio of projects and preparing for coding assessments can improve chances of selection.

What is a Google Programmer job?

A Google Programmer, often referred to as a Software Engineer at Google, is responsible for designing, coding, testing, and maintaining software solutions. They work on a variety of projects, from improving search algorithms to developing large-scale infrastructure and AI systems. Engineers collaborate with cross-functional teams, follow coding best practices, and contribute to Google's innovative technology. The role typically requires strong programming skills, problem-solving abilities, and knowledge of data structures and algorithms.

What are popular job titles related to Google Programmer jobs in Washington? For Google Programmer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Google Programmer jobs in Washington look for? The top searched job categories for Google Programmer jobs in Washington are:
Google Programmer jobs near you
Infographic showing various Google Programmer job openings in Washington as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $93,138 per year, or $44.8 per hour.
Google Engineering Lead | AI & Data

Google Engineering Lead | AI & Data

Accenture Federal Services

Washington, DC

Other

Posted 12 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 426 rated business services

Job description

You Are:

Accenture Federal Services (AFS) is seeking a Google Engineering Lead to join our AI & Data Practice. This high-visibility role is designed for a technical leader who excels at the intersection of pre-sales strategy, enterprise-scale architecture, and hands-on engineering execution. In this capacity, you will serve as the lead engineer for our GTM initiatives with Google, driving the technical vision for new federal pursuits. You will be responsible for both the high-level architectural strategy in client-facing environments and the hands-on leadership of engineering teams developing functional prototypes. 

Key Responsibilities 

  • Strategic GTM Enablement: Collaborate with practice and account leaders to identify emerging federal market requirements and translate them into robust, GCP-native solution offerings. 
  • Solution Architecture & Design: Serve as the Lead Solution Engineer for new opportunities. You will be responsible for designing end-to-end, secure, and scalable architectures that integrate the breadth of Google's ecosystem - including but not limited to Google's Gemini models, Vertex AI Model Garden, BigQuery, and and Agent Builder.  
  • Pre-Sales Technical Leadership: Lead technical discovery and solutioning for high-priority federal pursuits. Act as the primary Subject Matter Expert (SME) during client workshops to articulate the value and feasibility of Google Cloud technologies. 
  • Rapid Prototyping Lead: Direct the end-to-end development of Proofs of Concept (PoCs) and prototypes. This includes defining the technical roadmap, selecting the appropriate GCP services, and serving as the lead engineer to ensure a successful "build" for pursuit-related milestones. 

Professional Qualifications

  • Extensive Experience: A minimum of 10 years of experience in systems engineering, cloud architecture, or technical consultancy, with a minimum of 4 years of specialized expertise in Google Cloud Platform (GCP). 
  • Enterprise Solution Architecture: Proven ability to design holistic, multi-service architectures that solve mission-critical federal challenges. You must be able to navigate trade-offs between cost, performance, and security while ensuring alignment with the client's long-term digital transformation goals. 
  • Innovation-Led Pre-Sales Expertise: Proven success as a lead engineer in the end-to-end lifecycle of high-fidelity prototypes that drive market interest. This includes: 
    • Translating complex federal mission challenges into functional, tangible GCP solutions. 
    • Designing and executing "North Star" demonstrations that illustrate the future state of a client's environment. 
    • Leading the "Proof of Value" phase by building functional software, data pipelines, or AI models that validate AFS's technical differentiators to senior federal stakeholders. 
  • Engineering Proficiency: Advanced, hands-on experience in developing and deploying cloud-native applications and data pipelines. Deep technical expertise in Vertex AI, CCAI, GKE, and BigQuery is highly prioritized. 
  • AI/ML Lifecycle Expertise: Proven experience designing, developing, and deploying production-grade AI/ML solutions and architectures including LLM-based applications, computer vision, Agentic AI, and RAG. 
  • Federal Domain Knowledge: Comprehensive understanding of the federal IT landscape, including security requirements (FedRAMP/ATO processes), legacy application landscape, and procurement cycles. 
  • Team Leadership: Experience guiding multi-disciplinary engineering teams through the rapid development of high-fidelity prototypes to support new opportunities.  

Education and Certifications 

  • Bachelor's degree in Computer Science, Engineering, or a related technical field. 
  • Required: Google Cloud Professional Cloud Architect. 
  • Preferred: Additional certifications in Google Cloud Data Engineering, Security, or Machine Learning. 

The Extras:

  • US Citizenship Required

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