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Data Engineer Google Jobs in Texas (NOW HIRING)

Job Summary The Solutions Engineer - Google AI collaborates with account and specialty teams to ... They will represent the Google AI portfolio (Gemini Enterprise, AI Applications, Vertex AI, Data ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

ML Engineer (Google) Compensation: $125000 / Year Benefits: Medical insurance, Vision insurance ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field. * 3-5 years of ...

ML Engineer (Google) Compensation: $125000 / Year Benefits: Medical insurance, Vision insurance ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field. * 3-5 years of ...

Data Architect _US

Dallas, TX

$63 - $81/hr

Google Professional Data Engineer * Google Cloud Architect * Google Cloud Engineer Compensation ... Benefits and Duration Minimum Compensation: USD 52,000 Maximum Compensation: USD 182,000 ...

ML Engineer (Google) Compensation: $125000 / Year Benefits: Medical insurance, Vision insurance ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field. * 3-5 years of ...

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Data Engineer Google information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data engineer google jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data engineer google in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What does a Data Engineer at Google do?

A Data Engineer at Google designs, builds, and manages systems that collect, store, and process large volumes of data. Their responsibilities include creating data pipelines, ensuring data quality, and optimizing data architectures to support analytics and machine learning initiatives. They work closely with data scientists, analysts, and other engineers to ensure that data is accessible, reliable, and efficiently processed for various business needs.

How do Data Engineers at Google typically collaborate with data scientists and software engineers?

At Google, Data Engineers work closely with both data scientists and software engineers to build robust, scalable data pipelines and infrastructure. Data Engineers are responsible for ensuring that data is clean, accessible, and optimized for analytics, often translating business needs into technical solutions. Regular collaboration happens through cross-functional meetings, design sessions, and code reviews, where Data Engineers provide expertise in data modeling, ETL processes, and system optimization. This collaborative environment promotes innovation, knowledge sharing, and the successful deployment of data-driven products.

What are the key skills and qualifications needed to thrive as a Data Engineer at Google, and why are they important?

To thrive as a Data Engineer at Google, you need strong programming skills (especially in Python, Java, or Scala), expertise in data modeling, and a solid understanding of distributed systems, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery, SQL, Apache Spark, and relevant data engineering certifications is highly valued. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills for collaborating across teams and translating business requirements into technical solutions. These skills ensure the reliable design, optimization, and scalability of data systems critical to Google's innovation and decision-making.

What is the difference between Data Engineer Google vs Data Engineer Amazon?

AspectData Engineer GoogleData Engineer Amazon
Required CredentialsBachelor's in CS or related, Google Cloud certifications often preferredBachelor's in CS or related, AWS certifications common
Work EnvironmentGoogle Cloud Platform, large-scale data systems, collaborative teamsAWS cloud services, large data pipelines, cross-functional teams
Employer & Industry UsageGoogle, tech and internet servicesAmazon, e-commerce and cloud services
Search & Comparison IntentHigh overlap in cloud data engineering rolesSimilar roles in cloud data engineering

Both Data Engineer Google and Data Engineer Amazon roles require strong data processing skills, cloud platform knowledge, and relevant certifications. While Google emphasizes Google Cloud Platform expertise, Amazon focuses on AWS. Both roles are integral to their respective companies' data infrastructure, with similar work environments and industry usage, making them common comparison points for data engineering careers in cloud environments.

What are popular job titles related to Data Engineer Google jobs in Texas? For Data Engineer Google jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Data Engineer Google jobs? Cities in Texas with the most Data Engineer Google job openings:
Infographic showing various Data Engineer Google job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Solutions Engineer - Google AI

Solutions Engineer - Google AI

SHI International Corp.

Austin, TX • On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
SHI International Corp. is a global provider of IT solutions and services, helping organizations transform through technology. The Solutions Engineer – Google AI will collaborate with account teams to assess customer cybersecurity needs and take a consultative approach to AI projects, while developing and delivering new security services offerings.
Responsibilities:
• Achieve and maintain a Tier 1 Google Partner Delivery Readiness Profile for Gemini Enterprise, AI Applications, Vertex AI, and Data & Analytics
• Collaborate with account teams to evaluate and understand customers' AI technologies and needs.
• Collaborate with multiple layers of contacts within client organizations, including but not limited to CIO, CTO, IT Directors, AI Engineers, and procurement to strengthen our overall customer relationship and better understand the goals and objectives they are trying to achieve.
• Understand the company’s services offerings in all solution practice areas by attending company training and expanding knowledge through self-study.
• Educate sales teams on AI solution selling and key technologies through 1x1, team, and company training.
• Stay current on new technology, trends, and market behavior by studying market trends and the industry landscape
• Engage in self-study and independent work in lab facilities to increase job-related knowledge and skills
• Develop collateral to assist with AI sales engagements
• Develop use cases and demos in the SHI lab to support sales engagements
• Provide relevant customer-facing demos, proof-of-concept and other pre-sales functions for Google AI Solutions
Qualifications:
Required:
• Completed Bachelor’s Degree or relevant work experience required
• 3-5 years of experience in a similar role
• 5+ years of experience in a technical Cloud/AI role
• 3+ years of experience in Cloud/AI Pre-Sales Consulting
• Ability to travel to SHI, Partner, and Customer Events
• Deep technical expertise in Google AI services, including core Google Cloud Platform services, Google Gemini Enterprise, AI Applications, Vertex AI, BigQuery, Looker, etc.
• Proven ability to manage technology friction during integration
• Hands-on experience with Google AI technologies such as Vertex AI and Gemini Enterprise, and their integration with enterprise security solutions; exceptional client-facing and presentation skills with a demonstrated ability to lead technical sales discussions, build client relationships, and align solutions with business needs
• Excellent presentation skills, including the ability to run demos on identity security solutions.
• Outstanding written and verbal communication.
• Attention to detail, organization, and follow-up skills
• Initiative to research and resolve problems with a positive attitude
• Exceptional relationship-building acumen with a passion for technology
• Strong documentation skills to include system/network diagrams and presentations
• Expert technical knowledge of AI solutions
Preferred:
• Google Machine Learning Engineer, Data Engineer, Google Cloud Professional Architect, or other relevant Google Cloud certifications are highly preferred; Other AI-related Certifications are a plus
• Preferred Locations: Austin, TX or Somerset, NJ
• Located near a major Google office hub
• Proximity to major airports
Company:
Think of SHI as your personal technology concierge. Founded in 1989, the company is headquartered in Somerset, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

SHI International logo

About SHI International

Sourced by ZipRecruiter

SHI International, located in Somerset, NJ, US, is a global provider of technology products and services. Operating in the Information Technology and Services industry, SHI offers comprehensive IT solutions ranging from software and hardware procurement, deployment planning, cloud-based services, IT asset management, and more to a diverse client base. Founded in 1989 by Thai Lee, the company has grown exponentially, amassing a deep pool of expertise and earning recognition as one of North America's top 15 largest IT solutions providers. Driven by a mission to help customers select, deploy, and manage technologies that drive productivity, profitability, and innovation, SHI cherishes its reputation as a cost-effective, customer-centric technology partner.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Somerset, NJ, US

Year founded

1989