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Google Big Data Jobs (NOW HIRING)

Please don't share GCP Engineers / Data Engineers - Need Admin candidates We are looking for a BQ ... Google Big Query environments, including datasets, tables, and access controls • Monitor and ...

Big Data Architect

Framingham, MA

$65.50 - $84.25/hr

The emergence of big data is creating opportunities to develop data platforms that turn big data ... Web Services, Google, Azure * Experience managing the full lifecycle of a Hadoop Solution

Senior Big Data Engineer

Cambridge, MA

$61 - $80.50/hr

We are looking for a Senior Big Data Engineer to join our Big Data Analytics Platform team. In this ... Services, Google, Azure * Knowledge of UNIX/Linux * Experience with Text Analytics * Strong ...

Big Data Engineer

Washington, DC · On-site

$63.25 - $83.50/hr

Job Title: Big Data Engineer Location: Washington, DC Duration: 6 Months Face to Face Must (NO ... Experience with hosted cloud storage services such as AWS or Google Cloud Platform. Understanding ...

Data Engineer

$117K - $140K/yr

Use Google Big Query and GCP Suite or similar big data tools to deliver on datawarehouse and reporting requirements * Use with Databricks and similar ETL tools to perform data extract and ...

Big Data Architect

Boston, MA

$69.25 - $89/hr

... Web Services, Google, Azure - Experience managing the full lifecycle of a Hadoop Solution ... big data solutions like Hadoop, MapReduce, Hive, HBASE, MongoDB, Cassandra, Spark, Impala, Oozie ...

GCP Big Data Engineer

Basking Ridge, NJ · On-site

$57.50 - $76/hr

Experience with GCP (Google Cloud Platform), including BigQuery and SQL * Excellent understanding ... Strong experience with AWS big data services such as EMR, Redshift, Glue, Lambda, Athena, and S3 ...

GCP Data Engineer

Austin, TX · On-site

$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 ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.) * Familiarity with time series database, data streaming applications, event driven ...

GCP Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

Google Big Data Specialty Certification • 15+ years direct experience working in Enterprise Data Warehouse / Data Lake technologies • 10+ years in a customer facing role working with enterprise ...

GCP Data Engineer

Austin, TX · On-site

$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 ...

... Google Big Query etc. • Strong hands-on experience with Azure Data Factory (ADF) for data orchestration (for building and managing pipelines), Azure Databricks for big data processing and analytics ...

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Google Big Data information

See salary details

$46K

$165K

$243.5K

How much do google big data jobs pay per year?

As of Jun 12, 2026, the average yearly pay for google big data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What types of projects or challenges can I expect to work on in a Google Big Data role?

In a Google Big Data position, you can expect to work on large-scale data integration, processing, and analysis projects that support business, product development, or customer insights. Typical challenges include designing scalable data pipelines, optimizing queries on massive datasets, ensuring data quality, and implementing advanced analytics or machine learning solutions. You'll often collaborate with data scientists, engineers, and product teams, using a variety of Google Cloud and open-source tools. This work environment is dynamic and encourages innovation, problem-solving, and continuous learning, providing opportunities to shape both technical solutions and strategic business outcomes.

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

To thrive in a Google Big Data role, you need a strong background in data engineering, distributed systems, and analytical problem-solving, typically supported by a degree in computer science or a related field. Mastery of big data technologies such as Hadoop, Spark, Cloud Dataflow, and familiarity with programming languages like Python or Java are essential, along with certifications in Google Cloud Platform (GCP) being highly desirable. Effective collaboration, strong communication skills, and the ability to translate complex data insights into actionable business recommendations help you excel on cross-functional teams. These skills and qualities are crucial for designing scalable big data solutions, uncovering meaningful insights, and driving impactful business decisions within a fast-paced tech environment.

What is a Google Big Data job?

A Google Big Data job typically involves working with large-scale data storage, processing, and analytics using Google Cloud technologies like BigQuery, Dataflow, and Dataproc. Professionals in this field design, optimize, and manage data pipelines to help businesses extract insights from massive datasets. Responsibilities often include data engineering, machine learning integration, and performance tuning to ensure efficient data operations. Strong knowledge of cloud computing, SQL, and distributed computing frameworks is usually required.

More about Google Big Data jobs
What cities are hiring for Google Big Data jobs? Cities with the most Google Big Data job openings:
What states have the most Google Big Data jobs? States with the most job openings for Google Big Data jobs include:
Infographic showing various Google Big Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

GCP Big Query Admin

Saransh Inc

Ashburn, VA • On-site

Contractor

Posted 12 days ago


Job description

Role: GCP Big Query Admin
Location: Ashburn, VA / Irving, TX (Hybrid - 3 days a week in office)
Job Type: Contract
 
No of Positions: 2 (1 in each location)
 
Note: Please don't share GCP Engineers / Data Engineers - Need Admin candidates
We are looking for a BQ DBA with Operations support specialist.
This is an immediate requirement, and candidate needs to relocate to Irving, TX / Ashburn, VA.
 
Job Description:
• Administer and support Google Big Query environments, including datasets, tables, and access controls
• Monitor and optimize query performance, storage, and slot utilization
• Manage Big Query costs through capacity planning, quotas, and usage analysis
• Provide L2/L3 production support for Big Query incidents and data issues
• Troubleshoot query failures, performance degradation, and quota limitations
• Implement security best practices using IAM and dataset-level permissions
• Support batch and streaming data ingestion pipelines into Big Query
• Ensure data availability, reliability, and SLA adherence
• Collaborate with data engineering and analytics teams on platform best practices