1

Big Query Jobs (NOW HIRING)

GCP Data Architect

Parsippany, NJ · On-site

$64 - $82.50/hr

Demonstrable knowledge & Experience using Google Cloud Big Query is mandatory * Experience with DataProc & DataFlows with Java on Google Cloud Platform is highly desired * Experience with serverless ...

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 ...

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 ...

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 ...

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 ...

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 ...

Java Mulesoft developer with GCP

Dearborn, MI · On-site

$47 - $60.75/hr

... DTW, GCP-Big Query - UNIX & Linux Scripting Software Tools - Github - Jenkins or Tekton - Jmeter - SonarQube - Dynatrace - SPLUNK Qualifications : Required : • Java • Spring • Mulesoft • ...

Showing results 21-40

Big Query information

See salary details

$43K

$46K

$48.5K

How much do big query jobs pay per year?

As of Sep 2, 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.
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 August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $45,995 per year, or $22.1 per hour.

GCP Data Architect

Sarian, Inc.

Parsippany, NJ • On-site

$64 - $82.50/hr

Full-time

Re-posted 26 days ago


Job description

JD:
  • Strong Python Development Experience is mandatory
  • 6-8 years of Data Engineering experience working with both distributed architectures, ETL, EDW and Big Data technologies
  • Demonstrable knowledge & Experience using Google Cloud Big Query is mandatory
  • Experience with DataProc & DataFlows with Java on Google Cloud Platform is highly desired
  • Experience with serverless data warehousing concepts on Google Cloud is highly desired
  • Experience with DWBI modelling framework is highly regarded
  • Extensive experience working with SQL across a variety of databases
  • Experience working with both structured and unstructured data sources using cloud analytics (Cloudera , Hadoopo etc.)
  • Experience with Data Mapping and Modelling
  • Experience with Data Analytics tools
  • Proven ability in one or more of the following programming or scripting languages- Python, JavaScript, Java, R, UNIX Shell, php, ruby.
  • Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big Table
  • Knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, Google Cloud, hadoop, HDFS, mapr and spark.