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Remote Gcp Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Miami, FL ยท Remote

$135K - $155K/yr

Expertise in 2-3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and ... Flexible remote work environment with a collaborative, high-talent team Salary: $135,000 - $155,000 ...

Sr Data Engineer

Plantation, FL ยท Remote

$109K - $131K/yr

... or GCP) required. โ€ข Deep understanding of data modeling concepts (dimensional modeling, star ... TYPICAL WORKING CONDITIONS โ€ข Full time remote/telework OTHER PHYSICAL REQUIREMENTS โ€ข Vision โ€ข ...

Data Engineer - Healthcare

Tampa, FL ยท Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of ... Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred) * Ability to work ...

Senior Data Engineer

Miami, FL ยท Remote

$145K - $175K/yr

Expertise in 3-5 major cloud and data platforms and exposure to all (AWS, GCP, Azure, Snowflake ... Flexible remote work environment with a collaborative, high-talent team Salary: $145,000 - $175,000 ...

Azure Cloud Data Engineer

Weston, FL ยท Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud Data Engineer to join our global client's growing team of data experts. This is 100 REMOTE and a ...

Software/Data Engineer

De Leon Springs, FL ยท On-site +1

$110K - $145K/yr

The Software/Data Engineer develops, integrates, and sustains software applications, databases ... Remote (U.S.) with occasional travel. Responsibilities Essential Job Functions: * Design, develop ...

Senior Data Engineer ID75059

Miami, FL ยท On-site +1

$101K - $137K/yr

... AWS , GCP , Snowflake ) and advanced SQL optimization; - Exceptional soft skills with a proven ... Flexible schedule with remote and office options.

Senior Data Engineer ID75059

Tampa, FL ยท On-site +1

$100K - $136K/yr

... AWS , GCP , Snowflake ) and advanced SQL optimization; - Exceptional soft skills with a proven ... Flexible schedule with remote and office options.

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Remote Gcp Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote GCP Data Engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

How does a Remote GCP Data Engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What is the difference between Remote Gcp Data Engineer vs Remote Data Analyst?

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What is a Remote GCP Data Engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.
What are the most commonly searched types of Gcp Data Engineer jobs in Florida? The most popular types of Gcp Data Engineer jobs in Florida are:
What job categories do people searching Remote Gcp Data Engineer jobs in Florida look for? The top searched job categories for Remote Gcp Data Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Gcp Data Engineer jobs? Cities in Florida with the most Remote Gcp Data Engineer job openings:
Infographic showing various Remote Gcp Data Engineer job openings in Florida as of July 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 100% Remote job distribution.
Data Engineer

$135K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 12 days ago


Job description

Company Overview:

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for midโ€‘market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.

Weโ€™re a builderโ€‘led, clientโ€‘first culture that prizes ownership, clear communication, and shipping highโ€‘impact work.

Position Overview:

This role is for an experienced, handsโ€‘on practitioner capable of designing and implementing performant and scalable data solutions, and optimizing data flow.

Experience:

5+ years of industry experience as a handsโ€‘on practitioner in Data Engineering.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Core Responsibilities:
  • Design, build, and deploy robust data platforms, including data lakehouses and warehouses, and automate their operation using tools like Azure DevOps, Terraform, and CloudFormation.

  • Implement and optimize advanced ETL/ELT data pipelines and orchestrate complex data jobs using platforms like Databricks notebooks and dbt.

  • Design and maintain data models, potentially utilizing data virtualization tools like Cube.

  • Leverage managed and serverless cloud offerings to create performant and scalable cloudโ€‘native application solutions and data pipelines.

  • Apply best practices for data security and ensure compliance with governance requirements.

  • Build highโ€‘performance data pipelines and integrate with BI tools like Tableau, Looker, and Power BI.

  • Provide leadership in applying software development best practices, including CI/CD and managing Infrastructure as Code.

Key Requirements:
  • Advanced proficiency in Python and SQL (TypeScript/JavaScript/Java a plus).

  • Proven experience with ETL/ELT implementation and data modeling for data warehouses/lakehouses.

  • Understanding and experience with the Medallion Architecture (Bronze, Silver, and Gold layers).

  • Experience with advanced DevOps, CI/CD, and strong Linux system administration skills.

  • Expertise in 2โ€“3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and Fabric).

Consulting & Communication:
  • Participate in customer engagement activities, clearly communicating technical concepts, design decisions, and project progress to stakeholders.

  • Effective communication and the ability to collaborate with both technical and nonโ€‘technical stakeholders.

What We Offer
  • Competitive base compensation with performance bonuses

  • Comprehensive health, dental, and vision benefits

  • 401(k) with company match

  • Work on diverse, high-impact engagements across industries

  • Direct access to leading-edge data and AI stacks (Snowflake, Databricks, AWS, GCP, Azure)

  • Builder culture where analysts lead engagements and ship work, not slides

  • Professional development budget and certification support

  • Flexible remote work environment with a collaborative, high-talent team

Salary: $135,000 โ€“ $155,000 USD yearly

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equalโ€‘opportunity employer.