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Google Programmer Jobs in Washington (NOW HIRING)

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Google Programmer information

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How much do google programmer jobs pay per hour?

As of Aug 16, 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 skills and qualifications are needed to thrive as a Google programmer?

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 does a Google programmer do?

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 is a Google programmer?

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.

Infographic showing various Google Programmer job openings in Washington as of August 2026, with employment types broken down into 69% Full Time, 20% Part Time, 3% Temporary, and 8% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $93,138 per year, or $44.8 per hour.

Google Engineering Lead | AI & Data

Accenture Federal Services

Washington, DC • On-site

Full-time

Re-posted 19 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to assisting the US federal government in enhancing national strength and safety. They are looking for a Google Engineering Lead to oversee technical leadership in AI & Data practices, focusing on pre-sales strategy, architecture, and engineering execution for federal initiatives with Google.
Responsibilities:
• Collaborate with practice and account leaders to identify emerging federal market requirements and translate them into robust, GCP-native solution offerings.
• 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.
• 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.
• 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.
Qualifications:
Required:
• 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).
• Proven ability to design holistic, multi-service architectures that solve mission-critical federal challenges.
• Proven success as a lead engineer in the end-to-end lifecycle of high-fidelity prototypes that drive market interest.
• Advanced, hands-on experience in developing and deploying cloud-native applications and data pipelines.
• Proven experience designing, developing, and deploying production-grade AI/ML solutions and architectures including LLM-based applications, computer vision, Agentic AI, and RAG.
• Comprehensive understanding of the federal IT landscape, including security requirements (FedRAMP/ATO processes), legacy application landscape, and procurement cycles.
• Experience guiding multi-disciplinary engineering teams through the rapid development of high-fidelity prototypes to support new opportunities.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Required: Google Cloud Professional Cloud Architect.
• US Citizenship Required
Preferred:
• Additional certifications in Google Cloud Data Engineering, Security, or Machine Learning.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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