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Google Deployment Engineer Jobs (NOW HIRING)

Google

Product Deployment Engineer

New York, NY · On-site

Google creates products and services that make the world a better place, and gTech's role is to ... Verify the functionality of a developer product feature and provide meaningful feedback to product ...

Credal

Customer Deployment Engineer

New York, NY · On-site

$120K - $160K/yr

You'll join a team of Thoughtful Doers™ from places like Palantir, Cruise, Meta, Uber, and Google ... Prior solutions engineering, FDE, or customer success experience at an infra or developer tools ...

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All JobsGoogle Deployment Engineer Jobs

Google Deployment Engineer information

See salary details

$35.5K

$109.6K

$170K

How much do google deployment engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for google deployment engineer in the United States is $109,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What is a Google Deployment Engineer?

A Google Deployment Engineer is an IT professional who specializes in deploying, configuring, and managing Google Cloud solutions for organizations. They work closely with clients to understand their business needs and help implement Google products and services, such as Google Workspace, Google Cloud Platform, and related tools. Their responsibilities often include system integration, migration, automation, and providing technical support during and after deployment. These engineers must have a strong understanding of cloud computing, networking, and security best practices. Their goal is to ensure smooth adoption of Google technologies to optimize business operations.

What are the key skills and qualifications needed to thrive as a Google Deployment Engineer?

To thrive as a Google Deployment Engineer, a strong background in computer science, cloud architecture, and experience with Google Cloud Platform (GCP) services is essential. Proficiency with deployment automation tools (like Terraform, Ansible), CI/CD pipelines, and relevant certifications such as Google Cloud Professional Cloud Architect are typically required. Strong problem-solving skills, collaboration, and effective communication help engineers work efficiently with clients and cross-functional teams. These skills ensure successful deployment, seamless integration, and ongoing support of cloud solutions tailored to business needs.

What are some common challenges faced by a Google Deployment Engineer during large-scale cloud migrations?

Google Deployment Engineers often encounter challenges such as ensuring minimal downtime during migrations, managing complex legacy system integrations, and maintaining data security throughout the process. They must coordinate closely with cross-functional teams, including network administrators and security specialists, to address compatibility issues and validate that all systems perform as expected post-migration. Staying updated on Google Cloud Platform’s evolving features and best practices is essential to anticipate and mitigate potential problems.

What is the difference between Google Deployment Engineer vs Cloud Deployment Engineer?

AspectGoogle Deployment EngineerCloud Deployment Engineer
CertificationsGoogle Cloud certifications (e.g., Professional Cloud Engineer)Cloud certifications (e.g., AWS, Azure, Google Cloud)
Work EnvironmentPrimarily Google Cloud Platform services and toolsVarious cloud platforms and services
Employer & Industry UsageGoogle, tech companies using Google CloudMultiple cloud service providers across industries
Common Search & ComparisonYesNo

Google Deployment Engineers focus on deploying and managing applications specifically on Google Cloud Platform, often requiring Google-specific certifications. Cloud Deployment Engineers work across multiple cloud providers like AWS, Azure, or Google Cloud, with broader platform knowledge. Both roles involve deploying cloud infrastructure but differ in platform specialization and certifications.

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What are popular job titles related to Google Deployment Engineer jobs?

For Google Deployment Engineer jobs, the most frequently searched job titles are:

Google Deployment Engineer jobs near you
Infographic showing various Google Deployment Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $109,561 per year, or $52.7 per hour.

Customer Deployment Engineer

New York, NY • On-site

Sigma Computing
Software Development • 1 - 10 employees
Learn more about Sigma Computingexternal

Full-time

Medical, Retirement

This job post has expired 3 days ago. Applications are no longer accepted.

Key responsibilities

  • Guide new customers through environment setup, adoption, and achieving self-sufficiency in using Sigma.

  • Provide implementation expertise on Sigma best practices, environment configuration, data connection setup, and migration from other tools.

  • Manage key customer milestones including onboarding, training, deployment coaching, and first value activation.

Job description

At Sigma, we believe that a seamless onboarding experience is key to unlocking the full potential of our platform. As a Deployment Engineer, you will be the trusted guide for new customers, helping them implement their first use case, adopt Sigma's best practices, and become self-sufficient power users. You'll collaborate closely with Sales, Customer Success, Technical Support, and Product teams to ensure every customer's journey is smooth, impactful, and tailored to their needs.
In this role, you'll combine technical expertise with a customer-first mindset. You'll be helping developers, analysts, and data teams translate their workflows into Sigma, optimize performance, and drive long-term success.
What You Will Be Doing
  • Drive new customer deployment with a core focus on best practices of environment setup, customer adoption, and self-sufficiency.
  • Guide business users, data engineers, and developers on Sigma-specific methodologies, tailoring your coaching and implementation guidance to the skill set of the customer.
  • Define path to successful deployment and first value activation based on proactively understanding customer's business' needs and purchase drivers for Sigma.
  • Provide implementation expertise / advice in the following areas:
    • Sigma best practices and patterns for both app development and BI development
    • Sigma environment setup and data connection configuration
    • Sigma product direction / roadmap
    • Migration to Sigma from other tools
    • Integration with business workflows
    • Data modeling / shaping
    • Performance optimization
    • Security including SSO, team organization, and row-level security
  • Drive accountability of the customer to define the path to first value, working closely with Sales and Customer Success Managers.
  • Manage and own key customer milestones: sales handoff (internal), initial kickoff, training, deployment coaching, first value use case activation, and handoff to CS.
  • Create an effective feedback loop to Product, Support and Sales teams to optimize how we onboard new customers.
  • Raise risks and drive accountability to remove onboarding blockers.
  • Document new knowledge and cross-train other members of the team.

Qualifications We Need
  • 6 years of overall experience in data warehousing / AI app development / data analytics / business intelligence
  • 3 years of hands-on BI development experience in a customer-facing technical role, using one or more of the following tools: Tableau, Looker, Power BI, Sisense, Qlik, or ThoughtSpot
  • Hands-on SQL proficiency, including dimensional data modeling and data shaping techniques, including slowly changing dimensions, date dimensions, pivot, unpivot, and lateral joins with unnesting
  • Experience with cloud data warehouses, including Snowflake, Databricks, Amazon Redshift, and Google BigQuery
  • Clear communication style and the ability to explain complex technical issues in a simple manner, adapting to the knowledge level of the customer
  • Experience building data applications for cross-product workflows that are performant and well-structured, including use of API connectors and external storage integrations
  • Experience configuring enterprise authentication systems, including SSO, SCIM, and OAuth
  • Experience designing and implementing row-level security in a BI or analytics platform
  • Experience configuring and troubleshooting embedded analytics, including iframe-based embedding, API integrations, and third-party authentication flows in a SaaS environment
  • Experience creating technical documentation and training materials for enterprise customers and internal technical teams
  • Experience conducting technical discovery and requirements gathering with enterprise stakeholders to assess technical readiness and develop implementation plans
  • Experience designing and executing data-driven operational analysis projects to identify internal process inefficiencies and improve team performance
  • Bachelor's degree in computer science or related field or equivalent technical experience

Additional Job details
The base salary range for this position is $140-$170k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
Every Sigma employee is expected to follow the company's confidentiality and security standards for handling sensitive data; Sigma employees must abide by the company's data security policies.
About us:
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
Come join us!
Benefits For Our Full-Time Employees:
  • Equity
  • Generous health benefits
  • Flexible time off policy. Take the time off you need!
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Commuter and FSA benefits
  • Lunch Program
  • Dog friendly office

Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
Sigma's use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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