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Big Query Jobs (NOW HIRING)

GCP Architect

Richardson, TX · On-site

$58 - $74.50/hr

Good knowledge on Google Big Query, using advance SQL programing techniques to build Big Query Data sets in Ingestion and Transformation layer. * Experience in Relational Modeling, Dimensional ...

Sr. Data Engineer

Washington, DC · On-site

$129K - $156K/yr

Understand relationship between GCP products well - Primarily Data Fusion, Big Query and Looker, and demonstrate experience in Data Fusion [comparable ETL acceptable] and Google Big Query [Comparable ...

Java Developer

Atlanta, GA · On-site

$49 - $63.50/hr

Must have: Tech: Java, Spring Boot, Google Cloud Platform, Big Query, SQL, Python, Airflow, Apache Beam Domain: MarTech, Retail Key Responsibilities: * Design and develop data ingestion ...

GCP L2 Administration Hands-on experience in GCP L2 Administration Experience in data service Administration of DataProc and Big Query (fixed module, slot allocation, deploy), GCP Service Enablement ...

Richardson, TX Skillset: 1. ETL tester with experience in Teradata 2. GCP-Big Query knowledge is nice to have Responsibilities: 1. Test planning and test case writing and test execution 2. Stake ...

Pub/Sub, DataFlow, DataProc, Big Query, Big Table, Cloud DataStore, Cloud Client, Stackdriver, App Engine, Compute Engine, DataLab * Coding technologies: Java, Python, NodeJS, Bash, C#, SQL

Python Developer with GCP - US

Raleigh, NC · On-site

$48.75 - $67.25/hr

Milpitas, CA or Raleigh, NC-Hybrid Duration: 6+ Months 1. 5-7 years of experience in Python, Python REST API, Python Flask. 2. Strong knowledge of GCP services like GKE, Big Query, Big Table, Pub/Sub ...

GCP Data Engineer

$117K - $140K/yr

Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc. * Demonstrated mastery in Google BigQuery * Strong knowledge on Google ...

Azure Data Architect

Grand Rapids, MI · On-site

$59 - $76.75/hr

GCP Cloud storage and Big Query * Retail Media Data Movement experience * Google Marketing platform, Salesforce MCI, The Trade Desk, ADvendio * Power BI, Data Modeling, Data Classification and zones ...

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Big Query information

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How much do big query jobs pay per year?

As of Jun 28, 2026, the average yearly pay for big query in the United States is $45,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $46,000.00 per year, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

Big Query professionals, such as data engineers, data architects, and senior analytics managers, can earn $300,000 or more annually, especially with extensive experience, advanced certifications, and expertise in cloud data platforms. High-level roles in technology, finance, and consulting that involve managing large datasets and complex analytics often reach or exceed this salary level.

What are typical daily responsibilities for someone in a BigQuery Engineer position?

A BigQuery Engineer typically focuses on designing, developing, and maintaining cloud-based data warehouses, ensuring that data pipelines are efficient and reliable. Daily tasks often include writing and optimizing SQL queries, managing ETL (Extract, Transform, Load) processes, and collaborating with data analysts and stakeholders to deliver data solutions. The role also involves troubleshooting performance issues, maintaining data quality, and implementing best practices for security and cost optimization. Teamwork and regular communication with both technical and non-technical colleagues are key to ensuring data solutions align with business goals.

What is a BigQuery job?

A BigQuery job is a unit of work that BigQuery executes on your behalf, such as running a query, loading data, exporting data, or copying a table. Jobs are asynchronous and can be monitored for completion using job IDs. Each job runs in the context of a specific project and may consume processing resources based on the complexity of the task.

What job makes $10,000 a month without a degree?

High-paying jobs that can reach $10,000 a month without a degree often include roles such as sales managers, real estate brokers, or skilled trades like electricians and plumbers, especially with experience and certifications. Additionally, some tech roles like data analysts or cloud specialists can achieve this income through certifications and experience, often working in freelance or consulting capacities.

What are the key skills and qualifications needed to thrive in the Big Query position, and why are they important?

To excel in a BigQuery Engineer role, you need a strong background in SQL, data modeling, and cloud-based data warehousing, often supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), especially BigQuery, along with certifications like Professional Data Engineer, is highly valuable. Attention to detail, problem-solving ability, and effective communication are important soft skills for this position. These competencies enable efficient handling of large datasets, ensure data accuracy, and foster smooth collaboration with analytics and engineering teams.

How hard is it to get hired at Google?

Getting hired as a BigQuery specialist at Google typically requires strong technical skills in data analysis, SQL, and cloud platforms, along with relevant experience and certifications. The hiring process is competitive and involves multiple interview rounds assessing technical knowledge, problem-solving, and cultural fit.

What is a BigQuery job?

A BigQuery job refers to a task or operation executed within Google BigQuery, such as running a query, loading data, or exporting data. As a BigQuery professional, understanding how to manage and optimize these jobs is essential for efficient data analysis and processing, often requiring knowledge of SQL and cloud environment management.
More about Big Query jobs
What cities are hiring for Big Query jobs? Cities with the most Big Query job openings:
What states have the most Big Query jobs? States with the most job openings for Big Query jobs include:
Infographic showing various Big Query job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $45,995 per year, or $22.1 per hour.
GCP Architect

GCP Architect

VBeyond

Richardson, TX • On-site

$58 - $74.50/hr

Other

Posted 20 days ago


Job description

Job Description
Client is seeking a Google Cloud (GCP) Architect with experience in Github and python. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:

  • Candidate must be located within commuting distance of Richardson, TX or Woonsocket, RI or be willing to relocate to the area. This position may require travel in the US
  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
  • At least 7 years of Information Technology experience.
  • Experience working with technologies like - GCP with data engineering & data architecture - data flow / air flow, pub sub/ kafta, data proc/Hadoop, Big Query.
  • ETL development experience with strong SQL background such as Python/R, Scala, Java, Hive, Spark, Kafka
  • Strong knowledge on Python Program development to build reusable frameworks, enhance existing frameworks.
  • Good experience in end-to-end implementation of data warehouse and data marts.
  • Strong knowledge and hands-on experience in Python and SQL.
  • Knowledge on CICD pipeline using Terraform in Git.
Preferred Qualifications:
  • Good knowledge on Google Big Query, using advance SQL programing techniques to build Big Query Data sets in Ingestion and Transformation layer.
  • Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
  • Knowledge on Airflow Dag creation, execution, and monitoring.
  • Good understanding of Agile software development frameworks
  • Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams.
  • Experience and desire to work in a global delivery environment.