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Remote Gcp Data Engineer Jobs in Florida (NOW HIRING)

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Data Engineer with experience in managing enterprise-level data life cycle processes. This role ...

Senior Data Engineer

Tallahassee, FL · Remote

$95K - $129K/yr

Remote Responsibilities * Design and Implement Snowflake-Native Data Architectures * Lead the ... Expertise in cloud platforms (AWS, Azure, or GCP) with a focus on integration with Snowflake ...

Sr. Data Engineer

Saint Petersburg, FL · Remote

$100K - $136K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Data Engineer, Senior

Tampa, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245470 Location: Tampa,FL,US Share job via: Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Principal, Data Engineer

Melbourne, FL · On-site +1

$153K - $284K/yr

Principal, Data Engineer Job Code: 41066 Job Location ... Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ...

$153K - $284K/yr

Principal, Data Engineer Job Code: 41066 Job Location ... Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ...

Data Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Senior Cloud Engineer (Remote)

Tampa, FL · On-site +1

$52.75 - $70.50/hr

The Cloud Operations and Data Quality Engineer is responsible for the deployment, monitoring ... data elements • 2+ years of hands-on experience with major cloud platforms (AWS, Azure, or GCP ...

US - Remote Position type: temporary - TDB Position Summary We are looking for a highly skilled ... The ideal candidate will work closely with business stakeholders, data engineering teams, and ...

Head of Data

Miami, FL · Remote

$15K - $18K/mo

You will run a multi-disciplinary department across data engineering, business intelligence, data ... REMOTE-FIRST & ASYNCHRONOUS * Async-First : We prioritize output over "hours in a seat." * EST ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Azure, or GCP. * Migrate & Modernize: Lead cloud migration projects for data, systems, and ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Azure, or GCP. * Migrate & Modernize: Lead cloud migration projects for data, systems, and ...

Data Lake Engineer

Doral, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245982 Location: Doral,FL,US Share job via: Share Data Lake Engineer ... GCP * TS/SCI clearance * Master's degree in Computer Science, Information Technology, Systems ...

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Remote / Hybrid / Onsite Department: Engineering Job Summary We are looking for a skilled AI/ML ... Perform data preprocessing, feature engineering, and model evaluation. * Integrate AI models into ...

Showing results 21-40

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 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 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.

$127K - $236K/yr

Full-time

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: Lead, Data Engineer 

Job Code: 41065

Job Location: Melbourne, FL or Remote Opportunity

Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company’s modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Provide architectural oversight for the company’s data platform and related initiatives, ensuring alignment with company standards and best practices
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture

Qualifications:

  • Bachelor’s Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience In lieu of degree, minimum 13 years of prior Palantir experience.
  • Minimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
  • Minimum of 4 years of experience in Data Integration.

Preferred Additional Skills:

  • Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar
  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL
  • Familiarity with SDLC processes and architecture review or data governance board processes

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,000-$236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $110,500-$205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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