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Query Developer Jobs (NOW HIRING)

Big Query GCP Architect

Parsippany, NJ ยท On-site

$65.25 - $83.25/hr

... 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 ...

Unix Expert

Plano, TX ยท On-site

Experience troubleshooting, analysis, research and resolution using advanced query, programming skills, conduct root cause analysis. Additional Information Thanks Vick Walters Sarian Solutions an ...

Ashburn, VA (onsite) Contract * 8+ years as a Data Warehouse Engineer or DBA. * 3+ years of hands on BigQuery administration in production. * Strong SQL performance tuning and query optimization ...

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How much do query developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for query developer in the United States is $129,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $157,000.00 per year, depending on experience, location, and employer.

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Cities with the most Query Developer job openings:

What states have the most Query Developer jobs?

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Infographic showing various Query Developer job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $129,348 per year, or $62.2 per hour.

Big Query GCP Architect

Parsippany, NJ โ€ข On-site

$65.25 - $83.25/hr

Full-time

Re-posted 6 days ago


Job description

Job Title: Big Query GCP Architect
Location: Parsippany, NJ (Onsite)
Job Type: Full Time
 
Skills:
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.