ZipRecruiter

Log In

1

Google Bigquery Jobs in Florida (NOW HIRING)

Guardz

MDR Manager

Miami, FL · On-site

Use Guardz AI agents, Google BigQuery, and query languages such as SQL and KQL to triage, hunt across high-volume logs, and confirm incident scope at machine speed. * Partner with MSPs on major ...

Guardz

MDR Manager

Miami, FL · On-site

Use Guardz AI agents, Google BigQuery, and query languages such as SQL and KQL to triage, hunt across high-volume logs, and confirm incident scope at machine speed. * Partner with MSPs on major ...

ReturnPro

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... Google BigQuery, and Snowflake. • Manage data lakes to facilitate efficient data access and processing for downstream applications. • Design, implement, and manage relational (SQL) and non ...

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... Google BigQuery, and Snowflake. • Manage data lakes to facilitate efficient data access and processing for downstream applications. Database and Data Warehousing • Design, implement, and manage ...

ReturnPro

Data Engineer

Aventura, FL

$109K - $131K/yr

... Google BigQuery, and Snowflake. · Manage data lakes to facilitate efficient data access and processing for downstream applications. Database and Data Warehousing · Design, implement, and manage ...

Slalom Consulting

General Information

Miami, FL · On-site

$61 - $78.50/hr

You will architect solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, Cloud Composer, and other Google Cloud services. You will help clients migrate ...

Deloitte

Google AI Architect

Miami, FL · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Architect

Jacksonville, FL · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Architect

Tampa, FL · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Lead Architect

Tampa, FL · On-site

$52.25 - $71.50/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Lead Architect

Miami, FL · On-site

$52.75 - $72.50/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Simpro Software

Customer Operations Analyst

Miami, FL · On-site

Preferred : • Experience querying large datasets in a cloud data warehouse (e.g., Google BigQuery) is highly preferred. • Experience in Revenue Operations, Customer Operations, SaaS, or ...

Flip To, Inc.

Senior Full-stack Engineer (Remote)

Maitland, FL · Remote

$113K - $150K/yr

Azure SQL, GA 360 & Google BigQuery * C#, ASP.Net & Angular * Several other cloud services used to analyze the immense amount of data that we collect, as well as to increase our platform performance ...

next page

Showing results 1-20

All JobsGoogle Bigquery JobsGoogle Bigquery Jobs in Florida

Google Bigquery information

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 analyst, data engineer, and database administrator, often requiring knowledge of cloud platforms, data warehousing, and scripting. These positions may require certifications like Google Cloud Professional Data Engineer and familiarity with BigQuery's features and best practices.

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.

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 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 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.

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 1% Internship, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution.

MDR Manager

Guardz

Miami, FL • On-site

Other

Posted 7 days ago

Job description

We are looking for an experienced MDR Manager to lead our Security Operations team. The ideal candidate combines strong technical expertise with operational leadership and enjoys developing analysts, improving processes, and managing complex security incidents across multi-tenant MSP environments.

As a hands-on leader, you will oversee day-to-day MDR operations, including coverage, SLAs, quality, escalation tiers, and analyst development. You will also serve as the final escalation point for Tier 3 threats and lead the team through the most complex investigations.

Responsibilities:

  • Own 24/7 shift coverage, tiering, and escalation paths so every alert reaches the right analyst and there are no gaps in monitoring or escalation. Participate in an on-call rotation with the team.
  • Own response SLAs (time-to-triage, time-to-notify, MTTR) and report SOC KPIs (MTTD, MTTR, detection efficacy, false-positive rate, case aging, customer satisfaction) to leadership.
  • Run QA on closed alerts and incidents, drive down false positives, and maintain the team's runbooks, playbooks, and SOC standards.
  • Lead, coach, and mentor MDR Analysts: regular 1:1s, performance feedback, onboarding, and the T1-to-T3 training path. Run tabletop exercises and post-incident reviews.
  • Act as technical lead and final escalation point for T3 incidents (advanced malware, identity threats like MFA fatigue and token theft, active breaches), leading the full lifecycle with defensible documentation.
  • Correlate alerts across EDR (SentinelOne, Defender for Endpoint), ITDR (M365, Google Workspace), and email security, and run proactive threat hunts aligned to MITRE ATT&CK.
  • Use Guardz AI agents, Google BigQuery, and query languages such as SQL and KQL to triage, hunt across high-volume logs, and confirm incident scope at machine speed.
  • Partner with MSPs on major incidents and posture reviews, and feed findings back into detection with product, threat research, and engineering.

Requirements:

  • 5+ years in SOC, MDR, or Incident Response handling complex attacks, including 2+ years as a Team Lead, Shift Lead, or senior.
  • Hands-on expertise with EDR (SentinelOne, CrowdStrike, Defender for Endpoint) and ITDR (identity threat management across M365 and Google Workspace).
  • Hands-on experience with Google BigQuery, Snowflake, Splunk, Elastic, or equivalent, and fluency in a query language such as SQL, KQL, or SPL.
  • Experience with MITRE ATT&CK-aligned detection, proactive threat hunting, and AI-driven triage engines, automated playbooks, or agentic SecOps platforms.
  • Excellent communication skills, able to make high-risk technical findings clear to both technical and non-technical audiences.
  • Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or equivalent hands-on experience.
  • Preferred: CompTIA Security+, CompTIA CySA+, Microsoft SC-200, GIAC GCIH / GCIA / GCFA, or CISSP (or equivalent DoD 8570 / 8140 IAT Level II).

Apply