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Google Bigquery Jobs in Florida (NOW HIRING)

Rapinno Tech

Cloud Engineer

Temple Terrace, FL · On-site

$50.75 - $68/hr

Hands-on experience in GCP, Cloud Composer, BigQuery, and Looker. * Working knowledge of Google Cloud Platform * Experience hosting an application on GCP using Compute Engine, App Engine, Cloud SQL ...

Kforce Technology Staffing

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and data services, such as AWS Redshift, Azure Synapse, or Google BigQuery * Experience with data versioning and testing tools ...

New

Hut 8

Principal, Data Operations

Miami, FL

Model and deliver data across BigQuery, Snowflake, Cloud SQL/PostgreSQL, and Google Cloud Storage using dbt, data marts, and semantic-layer objects. * Support the cloud infrastructure behind data ...

New

Hut 8

Principal, Data Operations

Miami, FL

Model and deliver data across BigQuery, Snowflake, Cloud SQL/PostgreSQL, and Google Cloud Storage using dbt, data marts, and semantic-layer objects. * Support the cloud infrastructure behind data ...

New

Hut 8

Principal, Data Operations

Miami, FL · On-site

Model and deliver data across BigQuery, Snowflake, Cloud SQL/PostgreSQL, and Google Cloud Storage using dbt, data marts, and semantic-layer objects. * Support the cloud infrastructure behind data ...

New

KLS MARTIN LP

Senior Data Engineer (34454)

Jacksonville, FL · On-site

$97K - $133K/yr

Architect and implement cloud-based data warehouse solutions (e.g., Snowflake, AWS Redshift, Google BigQuery, Azure Synapse). * Collaboration & Cross-Functional Work * Work closely with business ...

Accenture

SAP Business Data Cloud (BDC) Consultant

Tampa, FL · On-site

$63 - $82.25/hr

You have familiarity with adjacent technologies including Databricks, Microsoft Azure, Google BigQuery, or Snowflake in the context of SAP integration. * You have familiarity with SAP Integrated ...

Accenture

SAP Business Data Cloud (BDC) Consultant

Miami, FL · On-site

$63.75 - $83.25/hr

You have familiarity with adjacent technologies including Databricks, Microsoft Azure, Google BigQuery, or Snowflake in the context of SAP integration. * You have familiarity with SAP Integrated ...

KLS Martin

Senior Data Engineer (34454)

Jacksonville, FL · On-site

$97K - $133K/yr

Architect and implement cloud-based data warehouse solutions (e.g., Snowflake, AWS Redshift, Google BigQuery, Azure Synapse). * Collaboration & Cross-Functional Work * Work closely with business ...

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Google Bigquery information

What is a Google BigQuery?

A Google BigQuery job is an asynchronous task used to run queries, load data, export data, or copy data within BigQuery. Each job is assigned a unique job ID and executes in the background, meaning it doesn't require continuous user interaction. There are different types of jobs: query jobs for running SQL queries, load jobs for importing data, export jobs for extracting data, and copy jobs for duplicating tables. Jobs can be managed and monitored through the BigQuery UI, CLI, or API.

What are the key skills and qualifications needed to thrive in the Google BigQuery position?

To excel in a Google BigQuery role, proficiency in SQL, data warehousing concepts, and cloud architecture is essential, often supported by a relevant degree in computer science or data analytics. Familiarity with the Google Cloud Platform (GCP), BigQuery-specific tools, and related certifications like Google Professional Data Engineer are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals distill complex data sets and collaborate across teams. These competencies are vital for efficiently managing, analyzing, and leveraging large-scale data within organizations to drive actionable business insights.

What are some typical projects or challenges faced by professionals working with Google BigQuery?

Professionals working with Google BigQuery often tackle projects involving the integration, analysis, and visualization of massive data sets to support business decision-making. Common challenges include optimizing query performance, managing data security and governance, and designing scalable data pipelines to handle rapidly growing information. Day-to-day, you might collaborate with data engineers, data analysts, and business stakeholders to interpret results and translate findings into actionable strategies. This role offers the opportunity to stay at the forefront of cloud data technologies while making a measurable impact on organizational goals.

Is Google Bigquery hard to learn?

Google BigQuery is a cloud-based data warehouse that requires understanding SQL and data analysis concepts. While it has a learning curve for beginners, many resources and tutorials are available to help new users become proficient quickly, especially if they have prior experience with SQL or data management tools.

What are jobs in Google Bigquery?

Jobs related to Google BigQuery typically involve managing, analyzing, and optimizing large datasets using SQL and cloud-based tools. Common roles include data analysts, data engineers, and database administrators who require knowledge of BigQuery, cloud computing, and data warehousing concepts. These positions often demand familiarity with Google Cloud Platform and related certifications.

What is Google BigQuery used for?

Google BigQuery is a cloud-based data warehouse used for storing and analyzing large datasets quickly and efficiently. It enables data analysts and data engineers to run complex SQL queries, perform data analytics, and generate insights from big data without managing infrastructure. Skills in SQL and cloud environments are essential for working effectively with BigQuery.

What are the most commonly searched types of Google Bigquery jobs in Florida?

The most popular types of Google Bigquery jobs in Florida are:

What are popular job titles related to Google Bigquery jobs in Florida?

For Google Bigquery jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Google Bigquery jobs in Florida look for?

The top searched job categories for Google Bigquery jobs in Florida are:

Google Bigquery jobs near you
Infographic showing various Google Bigquery job openings in Florida as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution.

Cloud Engineer

Rapinno Tech

Temple Terrace, FL • On-site

$50.75 - $68/hr

Full-time

Re-posted 17 days ago

Job description

Note: NO OPT AND CPT

Job Title: Cloud Engineer
Location: Temple Terrace, FL (Only Local)
Duration: Long Term Contract

Job Description:

Need minimum 10+ years of experience Cloud Engineer (Big Data + GCP)

As a Strategic GCP Cloud Engineer on the team, you will provide technical guidance to GCP's adoption and GCP's services. You'll provide application design guidance to modernize existing applications or write new applications. You will be collaborating on new application design and implementation. Additionally, you will work closely with Product Management and Data Engineering to build and constantly drive excellence.

10+ years experience building and supporting large-scale, business-critical systems on Public Cloud (Google Cloud Platform & AWS)

  • Strong experience in performance tuning of BigQuery SQL scripts.
  • Hands-on experience in GCP, Cloud Composer, BigQuery, and Looker.
  • Working knowledge of Google Cloud Platform
  • Experience hosting an application on GCP using Compute Engine, App Engine, Cloud SQL, Kubernetes Engine, Cloud Storage.
  • Good understanding of cloud design considerations and limitations and their impact on Pricing.
  • Networking principles and protocols such as IP subnetting, routing, firewall rules, Virtual Private Cloud, LoadBalancer, Cloud DNS, Cloud CDN, etc.
  • Proficient in a modern scripting language (preferably Python) for automation of build tasks.
  • Knowledge of Application Monitoring using Google Stackdriver
  • Experience with Big Data on GCP BigQuery, Pub/Sub, Dataproc, Dataflow
  • Prior experience working with: container technology such as Docker, version control systems (Github), build management and CI/CD tools (Concourse, Jenkins), and monitoring tools (App Dynamics, etc.)
  • Experience with infrastructure configuration management tools such as Terraform, Puppet, and Chef.
  • Unix/Linux power user
  • We prefer Google Cloud Certified candidates.
  • The Google Cloud Engineer will be responsible for:
  • Plan, Configure, Deploy and Operate a cloud solution.
  • Configure access and security.
  • Ensure Performance standards by configuring Auto-Scaling Solution to meet varying load requirements.
  • Automating the build and configuration of IaaS based solutions in Google Cloud Platform
  • Deliver Proof of Concepts for new Solutions on Cloud
  • Good written/Oral Communication, Presentation, Interactive skills with the team across geography.
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About Rapinno Tech

Sourced by ZipRecruiter

Rapinno Tech solutions is a software innovation company whose primary vision is to deliver technology innovations at a rapid pace to its clients. The company is headquartered in California, USA and has its development centers at Hyderabad & Bangalore in INDIA. The tag line “Rapid Technology Innovations Delivered” makes it apt as we innovate on advanced intelligent technologies to address client needs. Rapinno Tech provides cutting-edge IT solutions and services to all organizations across different industry verticals to enable them to empower their business operational capability. We enable a time advance, cost advantage, quality advantage, and innovation advantage to our clients.

Industry

Internet and it

Company size

11 - 50 Employees

Headquarters location

Laguna Beach, CA, US

Social media

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