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Cloud Data Developer Jobs in Florida (NOW HIRING)

GCP Cloud Analytics Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

GCP Cloud Analytics Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

* Seeking a Senior Data Engineer to support and scale critical AI‑driven data initiatives powering ... Experience with cloud data platforms, with a strong preference for: * Google Cloud Platform (GCP)

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required ... or another cloud data warehouse (Snowflake, Redshift, or similar). • Experience with ELT/ETL ...

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... Experience in data modeling, cloud data lake, cloud data warehouse * Instrument data analytics ...

Data & AI Platform Engineer

Boca Raton, FL · On-site

$108K - $130K/yr

Support day-to-day operations for cloud data platforms (workspace/project setup, access requests ... . DevOps & Deployment Support * Contribute to CI/CD workflows for data and analytics assets ...

Data Architect

Tallahassee, FL · On-site

$55.25 - $71/hr

Three or more years of experience designing, engineering, implementing, and supporting cloud-based data lakes, including lake layers and bucket structures in AWS S3 and related Apache Foundation ...

Showing results 41-60

Cloud Data Developer information

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GCP Cloud Analytics Engineer

Tampa, FL • On-site

Deloitte
Finance and Insurance • 10K+ employees

$52.75 - $70.50/hr

Full-time

Posted 7 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

GCP Cloud Analytics Engineer

Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation. This role offers the opportunity to work across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable outcomes for clients.

Recruiting for this role ends on 09/10/2026.

Work you'll do

As an Engineer on the GCP Cloud Analytics on the AI & Data team, you will be responsible for:

  • Designing and contributing to end-to-end cloud analytics architectures using Google Cloud Platform services
  • Supporting full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement
  • Developing and optimizing cloud-based data solutions using structured and unstructured data sources
  • Using automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency
  • Leading portions of complex technology engagements and coordinating delivery across teams in multiple locations

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required:

  • 3+ years of technology consulting or industry experience contributing to end-to-end architecture and solution design using Google Cloud Platform tools
  • 1+ full lifecycle implementation using a Google Cloud Platform toolset
  • 2+ years of experience with SQL and Python
  • 1+ years of experience leading workstreams within technology engagements with resources in multiple locations
  • Bachelor's degree or equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Snowflake and Databricks
  • Experience with Google Cloud Platform services including BigQuery, Cloud Dataflow, Cloud Data Fusion, Cloud Pub/Sub, and Kubernetes
  • Experience with Spark, Java, Apache Kafka, and Striim
  • Experience with other cloud platforms, including Microsoft Azure and Amazon Web Services
  • Google Cloud Platform certifications
  • Advanced degree in a technical or analytical field

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,300 to $155,00.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

Qualifications:

GCP Cloud Analytics Engineer

Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation. This role offers the opportunity to work across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable outcomes for clients.

Recruiting for this role ends on 09/10/2026.

Work you'll do

As an Engineer on the GCP Cloud Analytics on the AI & Data team, you will be responsible for:

  • Designing and contributing to end-to-end cloud analytics architectures using Google Cloud Platform services
  • Supporting full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement
  • Developing and optimizing cloud-based data solutions using structured and unstructured data sources
  • Using automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency
  • Leading portions of complex technology engagements and coordinating delivery across teams in multiple locations

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required:

  • 3+ years of technology consulting or industry experience contributing to end-to-end architecture and solution design using Google Cloud Platform tools
  • 1+ full lifecycle implementation using a Google Cloud Platform toolset
  • 2+ years of experience with SQL and Python
  • 1+ years of experience leading workstreams within technology engagements with resources in multiple locations
  • Bachelor's degree or equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Snowflake and Databricks
  • Experience with Google Cloud Platform services including BigQuery, Cloud Dataflow, Cloud Data Fusion, Cloud Pub/Sub, and Kubernetes
  • Experience with Spark, Java, Apache Kafka, and Striim
  • Experience with other cloud platforms, including Microsoft Azure and Amazon Web Services
  • Google Cloud Platform certifications
  • Advanced degree in a technical or analytical field

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,300 to $155,00.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

Education:Bachelor's DegreeEmployment Type:

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