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Data Engineer Google Jobs in Texas (NOW HIRING)

... 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 Architect, Databricks Data Engineer Associate] is ...

Data Engineer - Senior Manager

Dallas, TX · 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 Engineer - Senior Manager

Austin, TX · 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 ...

$113K - $136K/yr

AWS Certified Data Analytics - Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate • Understanding of social coding ...

GCP Data Engineer

Dallas, TX · On-site

$107K - $129K/yr

Perform ETL and data engineering work by leveraging multiple google cloud components using Cloud Dataflow, Cloud Data Proc, Google BigQuery * Knowledge on Data Modelling and reporting using Google ...

Data Engineer

Texas City, TX · On-site

$98K - $117K/yr

Data Engineer We are looking for an experienced Data Engineer with 8+ years of experience in ... Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Experience with ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Onsite (5 days office), Dallas Experience: 8+ years Required Skills: 8+ years of overall experience in Data Engineering/Data Warehousing Minimum 2 years of hands-on experience with Google Cloud ...

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross ... You need to have expertise in Google Big Query, Google Cloud Storage, Dataflow, Cloud Composer ...

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross ... You need to have expertise in Google Big Query, Google Cloud Storage, Dataflow, Cloud Composer ...

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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 Sep 13, 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 job categories do people searching Data Engineer Google jobs in Texas look for?

The top searched job categories for Data Engineer Google jobs in Texas 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Staff Network Security Engineer, Google Enterprise Network

Austin, TX • On-site

Google Inc.
Software Development • 10K+ employees

$103K - $141K/yr

Other

Re-posted 7 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

Staff Network Security Engineer, Google Enterprise Network

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Sunnyvale, CA, USA.

  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  • 10 years of experience with network routing protocols, design and troubleshooting, with network equipment providers.
  • Experience with planning and designing networks (e.g., multiple sites, multiple products, etc.).
  • Experience with network security, network security architecture, threat modeling, security assessment and security standards.
Preferred qualifications:
  • Experience working with and leading cross-functional teams from technical and non-technical backgrounds to drive positive security outcomes across large-scale organizations.
  • Experience developing security policies, standards, and controls with practical implementation experience across large-scale enterprise network environments.
  • Experience in security engineering, security assessment, vulnerability management, and threat modeling, with experience in automation and delivering organization-wide programs.
  • Experience developing architectural patterns with several reusable components to drive security at scale.
  • Experience in several domains such as network enterprise architecture, identity and access management, network security, application security, cloud security, or infrastructure security.
About the job

Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services.

The Google Enterprise Network (GEN) Engineering team is responsible for designing the next generation network and software platforms that run Google’s day-to-day business.

As a Staff Network Security Engineer, you will be responsible for the managing risks to GEN network hardware and software systems, developing automation and tools to enforce security policies, and partnering closely with customers, vendors team, network operations, and deployment teams to ensure the designs and solutions are safe, secure, efficient and address our user's requirements.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services.

The Google Enterprise Network (GEN) Engineering team is responsible for designing the next generation network and software platforms that run Google’s day-to-day business.

As a Staff Network Security Engineer, you will be responsible for the managing risks to GEN network hardware and software systems, developing automation and tools to enforce security policies, and partnering closely with customers, vendors team, network operations, and deployment teams to ensure the designs and solutions are safe, secure, efficient and address our user's requirements.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $176000 - $256000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Provide leadership and technical direction, driving cross-functional teams to achieve significant organizational impact.

  • Develop security framework, policies, standards and baselines for various infrastructures and network designs with the goal of uplifting security and reducing risks.
  • Conduct threat modeling and security assessments for various product, services, and offerings to help secure them while collaborating with the teams to develop solutions to help reduce overall risks.
  • Experience in developing network and software technologies, with an understanding of associated security risks to recommend risk remediation to both technical and non-technical audience.
  • Lead security programs and initiatives from inception to define roadmap, milestones, and impact, with consideration of resourcing, technical issues, and risks factors.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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