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Data Engineer Gcp Data Engineer Jobs in Miami, FL

Data Engineer

Miami, FL · On-site

$120K - $180K/yr

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience with Databricks ...

Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Summary: The Data Engineer supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. This role ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted ... Hands-on experience with at least one major cloud (AWS/Azure/GCP) and one warehouse/lakehouse ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted ... Hands-on experience with at least one major cloud (AWS/Azure/GCP) and one warehouse/lakehouse ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team in Doral, FL. Key Responsibilities * Design, implement, and maintain secure distributed data ...

Data Engineer

Miami, FL · On-site

$120K - $180K/yr

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience with Databricks ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Kforce has a client that is seeking a Data Engineer in Miami, FL. Responsibilities: * Design, implement and support an analytical data infrastructure and working knowledge of Modern Data Warehouse ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Data Engineer

Miami, FL · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Data Engineer

Florida City, FL · Remote

$105K - $126K/yr

Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards. * Collaborate ...

Data Engineer

Hollywood, FL · On-site

$190K/yr

Role Summary The Senior Data Engineer / Data Architect will be the hands-on technical owner of World Emblem's enterprise data foundation. This person will assess the current data environment, define ...

Sr. Staff Software Engineer- Eng

Sunrise, FL · On-site

$116K - $154K/yr

Serve as technical lead for FinOps data architecture across AWS and GCP environments. Lead DevOps automation, CI/CD, Infrastructure as Code, and platform reliability initiatives. Enable AI/ML and ...

Sr. Staff Software Engineer- Eng

Sunrise, FL

$116K - $154K/yr

Serve as technical lead for FinOps data architecture across AWS and GCP environments. Lead DevOps automation, CI/CD, Infrastructure as Code, and platform reliability initiatives. Enable AI/ML and ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development, maintenance, and optimization of enterprise data solutions within a healthcare environment. This ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development, maintenance, and optimization of enterprise data solutions within a healthcare environment. This ...

Cloud Data Engineer

Miami, FL · On-site

$90 - $120/hr

This role focuses on the development and implementation of data engineering solutions that enhance data warehousing capabilities and maintain legacy and new systems. Duties & Responsibilities

Data Engineer I

Plantation, FL · On-site

$65 - $90/hr

DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development, maintenance, and optimization of enterprise data solutions within a healthcare environment. This ...

Showing results 21-40

Data Engineer Gcp Data Engineer information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do data engineer gcp data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer gcp data engineer in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

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

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Miami, FL?

For Data Engineer Gcp Data Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Miami, FL look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Data Engineer Gcp Data Engineer jobs?

Cities near Miami, FL with the most Data Engineer Gcp Data Engineer job openings:

Infographic showing various Data Engineer Gcp Data Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,066 per year, or $59.6 per hour.

$120K - $180K/yr

Full-time

Re-posted yesterday


Key responsibilities

  • Design, build, and maintain end-to-end data pipelines using Databricks for data ingestion, transformation, and processing.

  • Collaborate with the analytics team to create, optimize, and maintain dashboards in Looker.

  • Deploy and manage cloud-based solutions on AWS, develop and maintain CI/CD pipelines, and oversee database management for MongoDB and PostgreSQL.


Job description

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience with Databricks, Looker, AWS, MongoDB, PostgreSQL, and Terraform. You will work alongside sales, customer success and engineering to design, implement, and maintain the operational data infrastructure that powers our analytics and platform offerings.

What you'll do:

  1. Data Pipeline & Integration
    • Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ingestion, transformation, and processing.
    • Integrate data from various structured and unstructured sources, including medical imaging systems, EMRs, Change-Data-Capture from SQL Databases, and external APIs.
  2. Analytics & Visualization
    • Collaborate with the analytics team to create, optimize, and maintain dashboards in Looker.
    • Implement best practices in data modeling and visualization for operational efficiency.
  3. Cloud Infrastructure
    • Deploy and manage cloud-based solutions on AWS (e.g., S3, EMR, Lambda, EC2) to ensure scalability, availability, and cost-efficiency using IaC tooling (Terraform and Databricks Asset Bundles).
    • Develop and maintain CI/CD pipelines for data-related services and applications.
  4. Database Management
    • Oversee MongoDB and PostgreSQL databases, including schema design, indexing, and performance tuning.
    • Ensure data integrity, availability, and optimized querying for both transactional and analytical workloads.
  5. Security & Compliance
    • Adhere to healthcare compliance requirements (e.g., HIPAA) and best practices for data privacy and security.
    • Implement error handling, logging, and monitoring frameworks to ensure reliability and transparency.
    • Implement data governance frameworks to maintain data integrity and confidentiality.
  6. Collaboration & Documentation
    • Work cross-functionally with data scientists, product managers, and other engineering teams to gather requirements and define data workflows.
    • Document data pipelines, system architecture, and processes for internal and external stakeholders.

About you:

  • Education & Experience
    • 7+ years of professional experience in data engineering or a similar role.
    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Technical Skills
    • Databricks (Spark): Proven expertise in building large-scale data pipelines.
    • Looker: Experience in creating dashboards, data models, and self-service analytics solutions.
    • AWS: Proficient with core services like S3, EMR, Lambda, IAM, EC2, etc.
    • MongoDB & PostgreSQL: Demonstrated ability to design schemas, optimize queries, and manage high-volume databases.
    • SQL & Scripting: Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks.
  • Soft Skills
    • Excellent communication and team collaboration abilities.
    • Strong problem-solving aptitude and analytical thinking.
    • Detail-oriented, with a focus on delivering reliable, high-quality solutions.
  • Preferred
    • Experience in healthcare or imaging (e.g., DICOM, HL7/FHIR).
    • Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines.
    • Knowledge of machine learning workflows and MLOps practices.

The base salary range for this position is $120,000 - $180,000.  Our job postings cover multiple career levels and individual compensation will depend on various factors, including qualifications, skills, experience, location, and applicable laws. In addition to base salary, this role is eligible to participate in our equity incentive and competitive benefits plans.