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Data Engineer Google Jobs in Texas (NOW HIRING)

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 ...

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

GCP Data Engineer 21249 Austin, TX 2/26/2026 7:58:00 AM IT Contractor - W2 GCP Data Engineer to ... You need to have expertise in Google Big Query, Google Cloud Storage, Dataflow, Cloud Composer ...

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 ...

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 ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Role: Senior Data Engineer Experience: 12+ Years Job Type: W2 Required Skills * 12+ years of ... Advanced experience with AWS / Azure / Google Cloud Platform * Hands-on experience with Snowflake ...

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

Dallas, TX · On-site

$113K - $136K/yr

Client is seeking a Data Engineer with hands-on experience building Data Lake in Google Cloud Platform using big data tools and technologies. * Experience with Hadoop/HDFS is highly desirable.

Data Engineer

Houston, TX · On-site

$60/hr

Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its ... Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks ...

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

* Design and implement data pipelines on Google Cloud Platform to support data processing and ... Stay up-to-date on the latest trends and best practices in data engineering on Google Cloud ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its ... We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data ...

Data Engineer

Westlake, TX · On-site

$60/hr

Data Engineer Target Pay Rate: Maximum USD $60.00/hr C2C * Location: Westlake, TX * Work Mode ... Familiarity with cloud data platforms (Snowflake, AWS, Azure, or Google Cloud Platform). Key ...

data engineer

Frisco, TX · On-site

$107K - $128K/yr

Experience with FAANG companies - Facebook/Meta, Amazon, Apple, Netflix, or Google . * Experience ... data governance . * Define CI/CD, DevOps, code quality, and release management standards.

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and analytics solutions. The ideal candidate will have hands-on expertise with ...

GCP Data Engineer

Irving, TX · On-site

$106K - $127K/yr

Abode TechZone, LLC is seeking an experienced GCP Data Engineer with strong expertise in Google Cloud Platform services. The ideal candidate will be responsible for designing, developing, and ...

Job Summary The Solutions Engineer collaborates with account teams to assess customer data center ... Experience working in Google Chrome, Chrome Enterprise Premium, and Cameyo technologies sales ...

... Google CloudProfessional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio ...

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Sr. Data Engineer will be part of the Data & AI Team. The Data & AI Team works very closely ... AWS, Google Cloud Platform, Azure * Data Warehousing: BigQuery, Redshift, Snowflake * Stream ...

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

This role is for a Data Engineer with mandatory prior experience in Apple AIDP. The successful ... Experience with Cloud Computing platforms such as AWS or Google Cloud for deployment purposes.

IAM Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Google Cloud Platform (4 - 6 Years) * Pyspark (4 - 6 Years) * Strong understanding of Google Cloud architecture, including bucket structuring, naming standards, lifecycle management policies, and ...

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Showing results 21-40

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 14, 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.

GCP Data Engineer

Dallas, TX • On-site

Avani Technology Solutions, Inc.
IT Services • 201 - 500 employees

$107K - $129K/yr

Full-time

Re-posted 15 days ago


Job description

Top Skills:
  • As a Data engineer (successfully lead the delivery of projects including end-to-end requirements, data analysis, perform data engineering activities and work with the users for data validation.
  • 5+ years of experience in Datawarehouse or Data Analytics
  • 5+ years of Hands on experience in setting up Google Cloud Data Engineering
  • 5+ years of Strong Hands on experience in any programming (Python, Spark)
  • Professional Cloud Data Engineer Certification is a plus

Requisite Abilities and/or Skills
  • Perform requirement gathering with the business users and SME and build a plan
  • 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 Cloud BigQuery
  • Knowledge on building data pipelines leveraging GCP best methodologies
  • Strong understanding towards Kubernetes, docker containers and to deploy GCP services
  • Experience in writing code to extract, transform data from multiple data sources including
  • Experience in ETL tools like Informatica or any ETL tools
  • Experience in scheduling like Airflow, Cloud Composer etc.
  • Experience in CI/CD automation pipeline facilitating automated deployment and testing
  • Excellent verbal and written communication, problem solving and interpersonal skills.
  • Experience in data catalog and metadata management.
  • Experience with JIRA or any other Project Management Tools
  • Deliver end to end comprehensive documentation along with code samples
  • Experience in one or multiple scripting languages / Cloud solutions is a plus

Key Accountabilities and Priorities:
  • Build a and operationalize pipelines to include data acquisition, staging, integration of new data sources, cataloging, cleansing, batch and stream processing, transformation, and consumption
  • Independently work on assigned projects and foster a collaborative environment for a high-performing team
  • Gather Business requirements, Review business priorities, Analyze options & risks
  • Quickly Understand and formulate application level requirements pertaining to complex workflows, or integration with external applications

Additional Information:
  • Bachelor's Degree. Masters is a plus.
  • 8+ years' experience in Information Technology and/or in IT Professional Services.