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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 ...

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 ...

... 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 ...

Data Engineer - Senior Associate

Austin, TX ยท On-site

$77K - $202K/yr

... 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 ...

Data Engineer - Senior Manager

Dallas, TX ยท On-site

$124K - $280K/yr

... 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 ...

... 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 ...

Data Engineer - Senior Manager

Fort Worth, TX ยท On-site

$124K - $280K/yr

... 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 ...

Data Engineer - Senior Manager

San Antonio, TX ยท On-site

$124K - $280K/yr

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

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 ...

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

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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 28, 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 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

Austin, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago


Job description

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI's concierge approach to help them solve what's next.But the heartbeat of SHI is our employees - all 7,000 of them.If you join our team, you'll enjoy:

  • Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.

  • Continuous professional growth and leadership opportunities.

  • Health, wellness, and financial benefits to offer peace of mind to you and your family.

  • World-class facilities and the technology you need to thrive - in our offices or yours.

Job SummaryThe Solutions Engineer - Google AI collaborates with account and specialty teams to assess customer cybersecurity needs. They will be a customer-facing cloud AI expert.They will take a consultative approach to AI projects and have a holistic understanding of howAItechnology enables business.The Solutions Engineer will also develop and deliver new security services offerings to address customer requests/opportunities. They will represent the Google AI portfolio (Gemini Enterprise, AI Applications, Vertex AI, Data & Analytics) and will be responsible for representing future solutions developed/acquired by Google.

Role Description

  • Achieve andmaintaina Tier 1 Google Partner Delivery Readiness Profile forGemini Enterprise, AI Applications, VertexAI,andData & Analytics

  • Collaborate with account teams to evaluate and understand customers'AItechnologies and needs.

  • Collaboratewith multiple layers of contacts within client organizations, including but not limited to CIO,CTO, IT Directors, AIEngineers, and procurementto strengthen our overall customer relationship and better understand the goals andobjectivesthey are trying to achieve.

  • Understand the company's services offerings in all solution practice areasby attending company training and expanding knowledge through self-study.

  • Educate sales teams onAIsolution selling and key technologies through 1x1, team, and company training.

  • Stay current onnew technology, trends, and market behavior by studying market trends and the industry landscape

  • Engagein self-study and independent work in lab facilities to increase job-related knowledge and skills

  • Develop collateral toassistwithAIsales engagements

  • Develop use casesand demosin the SHI lab to support sales engagements

  • Provide relevant customer-facing demos, proof-of-conceptand other pre-sales functionsfor Google AI Solutions


Behaviors and Competencies

  • Presenting: Can design and deliver engaging presentations, adapting the content and style to suit the audience, context, and medium.

  • Negotiation: Can proactively seek out negotiation opportunities, initiate discussions, and contribute to conflict resolution.

  • Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.

  • Detail-Oriented: Can manage complex tasks or projects, identifying errors or inconsistencies, and ensuring all details are addressed, necessary corrections are made, and quality is maintained.

  • Organization: Can effectively coordinate multiple projects, delegate tasks where appropriate, and employ advanced organizational tools and methods.

  • Follow-Up: Can proactively identify tasks that require follow-up, initiate necessary actions, and contribute to efficient workflow management.

  • Problem-Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.

  • Relationship Building: Can proactively seek out opportunities to expand networks, initiate collaborations, and contribute to team cohesion.

  • Documentation: Can develop comprehensive documentation standards, implement best practices, and ensure documentation supports operational efficiency.

  • Results Orientation: Can set challenging goals for their team and lead them to achieve these goals, demonstrating a consistent track record of results.


Skill Level Requirements

  • Google Machine Learning Engineer,Data Engineer,Google Cloud ProfessionalArchitect,or other relevant Google Cloud certifications are highly preferred;Other AI-relatedCertifications are a plus

  • Deep technicalexpertisein GoogleAIservices, including core Google Cloud Platform services, GoogleGemini 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, andfollow-upskills

  • Initiative to research and resolve problems with a positiveattitude

  • Exceptionalrelationship-buildingacumen with a passion for technology

  • Strong documentation skills to include system/network diagrams andpresentations

  • Expert technical knowledge ofAIsolutions


Other Requirements

  • Completed Bachelor's Degree or relevant work experience required

  • 3-5 years of experience in a similar role

  • 5+years of experiencein a technicalCloud/AIrole

  • 3+years of experienceinCloud/AIPre-Sales Consulting

  • Ability to travel to SHI, Partner, and Customer Events

Preferred Locations:

  • Austin, TX or Somerset, NJ

  • Located near a major Google office hub

  • Proximity to major airports

The estimated annual pay range for this position is $150,000 - $250,000which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

Equal Employment Opportunity - M/F/Disability/Protected Veteran Status