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Google Bigquery Jobs in Texas (NOW HIRING)

Google Looker/Semantic Layer

Dallas, TX ยท On-site

$113K - $136K/yr

Hands-on experience with modern data platforms, preferably Google BigQuery. CI/CD Workflows: Strong familiarity with Git version control, branching strategies, and pull requests. BI Integration:

Senior Data Engineer

Austin, TX

$105K - $142K/yr

About the Role The Senior Data Engineer will be part of a team that designs, builds, and operates YETI's enterprise data platform with a strong emphasis on Google Cloud Platform, BigQuery and Airflow ...

Sr. Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI's enterprise data platform with a strong emphasis on Google Cloud Platform, BigQuery and Airflow experience ...

Design, develop, and maintain interactive dashboards, reports, and visualizations connected to Google BigQuery * Create and optimize dimensional data models for efficient reporting * Develop complex ...

New

Data Engineer

Lewisville, TX ยท On-site

$75K - $93K/yr

Work across both SQL Server and Google BigQuery , managing data structures and optimizing queries. * Data Quality & Governance: Support data validation, troubleshooting efforts, and documentation of ...

GCP Data Engineer

Dallas, TX ยท On-site

$107K - $129K/yr

Knowledge on Data Modelling and reporting using Google Cloud BigQuery * Knowledge on building data pipelines leveraging GCP best methodologies * Strong understanding towards Kubernetes, docker ...

Design and oversee scalable ETL/ELT pipelines using cloud platforms such as Snowflake, Google BigQuery, and Microsoft Azure. * Manage data integration across multiple enterprise systems while ...

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Google Bigquery information

See Texas salary details

$22K

$98K

$157.4K

How much do google bigquery jobs pay per year?

As of Aug 24, 2026, the average yearly pay for google bigquery in Texas is $98,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,241.00 and $131,915.00 per year, depending on experience, location, and employer.

What is a Google BigQuery?

A Google BigQuery job is an asynchronous task used to run queries, load data, export data, or copy data within BigQuery. Each job is assigned a unique job ID and executes in the background, meaning it doesn't require continuous user interaction. There are different types of jobs: query jobs for running SQL queries, load jobs for importing data, export jobs for extracting data, and copy jobs for duplicating tables. Jobs can be managed and monitored through the BigQuery UI, CLI, or API.

What are the key skills and qualifications needed to thrive in the Google BigQuery position?

To excel in a Google BigQuery role, proficiency in SQL, data warehousing concepts, and cloud architecture is essential, often supported by a relevant degree in computer science or data analytics. Familiarity with the Google Cloud Platform (GCP), BigQuery-specific tools, and related certifications like Google Professional Data Engineer are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals distill complex data sets and collaborate across teams. These competencies are vital for efficiently managing, analyzing, and leveraging large-scale data within organizations to drive actionable business insights.

What are some typical projects or challenges faced by professionals working with Google BigQuery?

Professionals working with Google BigQuery often tackle projects involving the integration, analysis, and visualization of massive data sets to support business decision-making. Common challenges include optimizing query performance, managing data security and governance, and designing scalable data pipelines to handle rapidly growing information. Day-to-day, you might collaborate with data engineers, data analysts, and business stakeholders to interpret results and translate findings into actionable strategies. This role offers the opportunity to stay at the forefront of cloud data technologies while making a measurable impact on organizational goals.

Is Google Bigquery hard to learn?

Google BigQuery is a cloud-based data warehouse that requires understanding SQL and data analysis concepts. While it has a learning curve for beginners, many resources and tutorials are available to help new users become proficient quickly, especially if they have prior experience with SQL or data management tools.

What are jobs in Google Bigquery?

Jobs related to Google BigQuery typically involve managing, analyzing, and optimizing large datasets using SQL and cloud-based tools. Common roles include data analysts, data engineers, and database administrators who require knowledge of BigQuery, cloud computing, and data warehousing concepts. These positions often demand familiarity with Google Cloud Platform and related certifications.

What is Google BigQuery used for?

Google BigQuery is a cloud-based data warehouse used for storing and analyzing large datasets quickly and efficiently. It enables data analysts and data engineers to run complex SQL queries, perform data analytics, and generate insights from big data without managing infrastructure. Skills in SQL and cloud environments are essential for working effectively with BigQuery.

What are the most commonly searched types of Google Bigquery jobs in Texas?

The most popular types of Google Bigquery jobs in Texas are:

What are popular job titles related to Google Bigquery jobs in Texas?

For Google Bigquery jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Google Bigquery jobs in Texas look for?

The top searched job categories for Google Bigquery jobs in Texas are:

What cities in Texas are hiring for Google Bigquery jobs?

Cities in Texas with the most Google Bigquery job openings:

Infographic showing various Google Bigquery job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $98,005 per year, or $47.1 per hour.

CDB AI & Analytics - Development - Technical Lead - MDV118

Irving, TX โ€ข On-site

First Soft Solutions
IT Servicesย โ€ขย 11 - 50 employees

Contractor

Re-posted 22 days ago


Job description

Job Description: 1.Job title COGNIZANT IS LOOKING FOR GCP BIG DATA DEVELOPER 2.Job summary Desired skill- GCP Cloud Big Table Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, etc. Demonstrated mastery in Google BigQuery Strong knowledge on Google cloud storage Data lifecycle management Strong knowledge on BIGQuery Slots management 3.Experience 10to12yrs 4.Required Skills Technical Skills- ,Google Big Table,BigQuery,Big Data Domain Skills- 5.Nice to have skills Techincal Skills- ,Google BigQuery Domain Skills- 6.Technology Data Management 7.Shift Day 9 TO 6 8.Roles & Responsibilities Implement solutions for structured, semi-structured, and unstructured data sources, relational and non-relational databases. Advanced Python coding skills Experience with CI-CD pipelines for promoting big data release deployments and designing log monitoring features ((e.g. JIRA, GitHub, Jenkins, Nexus, Artifactory) 9.Job Location Primary: USTXIRNC01-Irving - TX USA, CLT Alternate: , 10.Job Type 50CW00 Business Associate 11.Demand Requires Travel? N 12.Certification(s) Required NA
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About First Soft Solutions

Sourced by ZipRecruiter

First Soft Solutions custom application Development and Maintenance Services are designed to enable you to lower the total cost of ownership and the required quality for your application. While all application Development Outsourcing is Technically custom, The difference is that packaged applications were designed with a general set of features to be used by a broad range of users. Custom application development is capable of producing practically any feature you may desire for your site. Time and money are virtually the only limiting factors. Our goal is to provide Clients with the Solution that fits their specific and unique needs while giving them the knowledge they need to operate and maintain the New Systems and Software. Our allegiance is to the best solution for our Clients. Our experience and knowledgeable consultants are ready to go above and beyond expectations to assist you in obtaining your goals. We can also provides expert project management throughout the entire project life cycle.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

East Brunswick, NJ, US

Year founded

2006