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Big Query Jobs (NOW HIRING)

Senior Data Engineer (Java/Spark)

Sunnyvale, CA · On-site

$65.50 - $86.50/hr

You have experience with Trino, Big Query , Apache Pinot * You have experience with data integration tools like Automic, or Airflow * You are experienced in public cloud computing platforms (e.g ...

Data Engineer with GCP

$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 ...

Data Engineer

Dearborn, MI · On-site +1

$140K - $184K/yr

... GCP big query, or Alteryx. 5. Designing Data Pipeline Architectures (ETL/ELT) to ensure efficient data flow and integration using tools including GCP big query, astronomer airflow, terraform, or ...

Primarily using GCP ADK, Vertex, Gemini Enterprise Agent Platform, Big Query, etc) * Clear, hands-on professional experience in relevant implementations of GenAI / Agent-based AI solutions at ...

GCP Data Engineer

Austin, TX

$113K - $136K/yr

You need to have expertise in Google Big Query, Google Cloud Storage, Dataflow, Cloud Composer, Python, and SQL will be crucial in developing effective data solution that support our fraud data ...

Sr Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Big Query, Cloud Composer, Data Fusion) • In-depth knowledge of SQL (plSQL, Hive, Impala, Oracle) and databases • Experience with Big Data processing frameworks and tools (Cloudera, Sqoop, Hive ...

GCP Data Architect

San Francisco, CA · On-site

$75 - $96.50/hr

Must have good knowledge of Cloud run, Cloud function, Cloud SQL, Pub-sub, Cloud endpoint, Cloud tasks, Big Query, Airflow, Firebase, GCS, Cloud Scheduler, Data Flow and IAM. * Must have knowledge of ...

GCP Engineer

Phoenix, AZ · On-site

$56.50 - $75.25/hr

Hands-on experience in GCP Big Query, Orchestration using Composer and Airflow, etc. * Knowledge of Pub/Sub and Dataflow will be an advantage. * Should be able to demonstrate very good knowledge of ...

Google cloud preferred Strong HBase/Big Table and Big Query skills. Strong application DBA skills with deep data modelling skills for NoSQl and relational databases. Well versed in scripting using ...

Ab -Initio Candidate should have good knowledge in GCP, Big query an, MAP R, Analytical to create the road map of the migration * Teradata 6+ years of exp. * Ab Initio 6+ years of experience * Very ...

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Big Query information

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$43K

$46K

$48.5K

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.
Senior Data Engineer (Java/Spark)

Senior Data Engineer (Java/Spark)

Redolent, Inc.

Sunnyvale, CA • On-site

$65.50 - $86.50/hr

Contractor

Posted 25 days ago


Job description

We are actively looking for Data Engineers (Java/spark) for Sunnyvale, CA or Bentonville, AR
Job Title: Sr Data Engineer (Java/spark)
Location: Sunnyvale, CA or Bentonville, AR (Hybrid)
Job Type: Contract
Rate: DOE
NOTES
* W2 candidares are strongly preferred
* Immediate closure for right candidate
What you'll bring:
  • You have expert-level technical skills and a proven record of accomplishment of building data pipelines using Spark, Hive, Kafka that are highly scalable, performant, and reliable.
  • You have expert-level coding skills in Python, JAVA, Spring, API design, Kafka, databases (SQL, no-SQL)
  • You are skilled in data modeling & data migration protocols
  • You have experience with Trino, Big Query, Apache Pinot
  • You have experience with data integration tools like Automic, or Airflow
  • You are experienced in public cloud computing platforms (e.g., GCP)
  • You are experienced in Gen AI Ecosystem in Agentic Frameworks

What you'll do:
  • Leading the discovery phase of medium to large projects
  • Data Modeling: Influencing the overarching data strategy and vision for data pipelines and data products. Overseeing and governing the expansion of existing data architecture and the optimization of data query performance via best practices. Presenting and socializing data models to business and information technology stakeholders.
  • Data Architecture: Designing, implementing, and improving processes in data management.
  • Code development of medium-to large-scale, complex, cross-functional projects.
  • Enhancing design to prevent re-occurrences of defects, ensuring on-time delivery and hand-offs. Daily interacting with project manager to provide input on project plan and providing leadership to the project team.
  • Developing Innovation strategies, processes, and best practices by leading internal technical teams.

Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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