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Google Bigquery Jobs in Texas (NOW HIRING)

Copart, Inc.

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

AWS, Google Cloud Platform, Azure * Data Warehousing: BigQuery, Redshift, Snowflake * Stream Processing: Apache Kafka, AWS Kinesis, Google Pub/Sub * Workflow Orchestration: Apache Airflow, Prefect ...

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert Location: Dallas, TX (Day1 ... Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.

Vytwo

BI Architect

Prosper, TX · On-site

$60 - $70/hr

Familiarity with cloud platforms (Azure, AWS, Google BigQuery). * Bonus: Python or R for data manipulation and AI/ML integration. * Soft Skills * Strong analytical and problem-solving abilities.

Vytwo

BI Architect

Prosper, TX · On-site

Familiarity with cloud platforms (Azure, AWS, Google BigQuery). * Bonus: Python or R for data manipulation and AI/ML integration. * Soft Skills * Strong analytical and problem-solving abilities.

Deloitte

Google AI Architect

San Antonio, TX · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Architect

Houston, TX

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Architect

Dallas, TX · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Architect

Austin, TX · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

SpangleAI

AI/ML Scientist

Austin, TX · On-site

... Google BigQuery, Snowflake, Apache Airflow) • Knowledge of cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying and scaling machine learning models, especially those ...

PTP

Google Cloud Solution Architect - REMOTE

Austin, TX · On-site +1

$62 - $84.75/hr

Dialogflow CX/ES, Conversational Insights, Speech to Text, BigQuery, Pub/Sub, GKE or Cloud Run, and/or Vertex AI • Expert in Google Cloud foundational best practices for IAM, project hierarchy ...

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How much do google bigquery jobs pay per year?

As of Sep 6, 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:

Google Bigquery jobs near you
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.

Sr. Data Engineer

Copart, Inc.

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 21 days ago

Copart rating

6.7

Company rating: 6.7 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

12th of 19 rated auctioneers

Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
The Sr. Data Engineer will be part of the Data & AI Team. The Data & AI Team works very closely with all aspects of applications and data pipelines. We are looking for a Sr. Data Engineer to design, develop, and optimize the flow of data throughout the organization, enabling end user to provide valuable insights of data across Copart. In this role, your work will broadly influence the company's data consumers, executives and analysts.
Key Responsibilities
  • Design and build the next-generation AI ready data platform.
  • Develop and automate data processing systems leveraging DBT to deliver data insights at an enterprise scale.
  • Design and implement workflow orchestration using Airflow / Cloud Composer for seamless data pipeline execution and scheduling across multiple systems.
  • Develop logging, metrics, and alerts for active monitoring of processes.
  • Collaborate with Product Managers and Application teams to create data models and schemas for easy access to complex datasets.
  • Maintain data integrity in production systems.
  • Balance and prioritize multiple conflicting requirements with high attention to detail.

Qualifications
  • Bachelor's degree or higher in Computer Science, Engineering, or related field.
  • 3-5 years of experience designing, developing, testing, and implementing scalable, high-performing data warehouse and BI solutions.
  • Enterprise development experience with databases (SQL Server, Oracle, MySQL, Vertica, MemSQL, Netezza, Redshift, Google BigQuery.
  • Hands-on experience with real-time data pipelines (Pub/Sub, Kinesis, Kafka) and database architecture (including MPP).
  • Experience with ETL/ELT and data transformation tools (DBT, DataFlow, Informatica).
  • Hands-on experience with workflow orchestration platforms (Apache Airflow, Prefect, Dagster, Cloud Composer).
  • Proficiency in BI/Analytical tools (Tableau, Looker, OBIEE, Power BI).
  • Strong analytical skills to translate complex business problems into actionable insights.
  • Exceptional communication and analytical skills with demonstrated ability to engage both technical and business audiences.

Technical Skills
  • Programming: Python, SQL, Java, Scala
  • Cloud Platforms: AWS, Google Cloud Platform, Azure
  • Data Warehousing: BigQuery, Redshift, Snowflake
  • Stream Processing: Apache Kafka, AWS Kinesis, Google Pub/Sub
  • Workflow Orchestration: Apache Airflow, Prefect, Dagster, Cloud Composer
  • BI Tools: Tableau, Pentaho, Looker, Power BI, Thoughtspot

#L1-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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