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Remote Amazon Data Engineer Jobs in Florida (NOW HIRING)

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 ...

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 Data Engineer

Tampa, FL · Remote

$86K - $115K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Data Engineer designs, evaluates, and tests data infrastructures. This role is in charge of creating solutions that fits the ...

Lead Data Architect

Boca Raton, FL · On-site +1

$190/hr

Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job ... The position will work closely with the client's engineering teams and internal Data Meaning ...

$44.36 - $69.85/hr

Coding/Programming * Data governance and security * Collaboration and stakeholder management ... If applying for a remote or hybrid role, this includes remote work expectations related to ...

... data. The position requires working collaboratively with other engineers, scientists, and analysts on complex exploitation issues. Job Duties * Utilize advanced GEOINT tools to analyze and exploit ...

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 ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

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, maintenance, and optimization of cloud infrastructure supporting Quest Diagnostics' Health Analytics ...

Showing results 21-40

Remote Amazon Data Engineer information

What does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

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

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

What are the most commonly searched types of Amazon Data Engineer jobs in Florida?

The most popular types of Amazon Data Engineer jobs in Florida are:

What job categories do people searching Remote Amazon Data Engineer jobs in Florida look for?

The top searched job categories for Remote Amazon Data Engineer jobs in Florida are:

What cities in Florida are hiring for Remote Amazon Data Engineer jobs?

Cities in Florida with the most Remote Amazon Data Engineer job openings:

Infographic showing various Remote Amazon Data Engineer job openings in Florida as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Principal, Data Engineer

Melbourne, FL • On-site, Remote

$153K - $284K/yr

Full-time

Medical, Retirement, PTO

Re-posted 25 days ago


Job description

Job Title: 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 - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Architect with experience in managing enterprise-level data life cycle processes. This individual will play a critical role in shaping our data architecture, ensuring the integrity, scalability, and efficiency of our systems. This includes overseeing data ETL/ELT pipelines, ensuring adherence to data and architectural standards, maintaining data frameworks, and ensuring data consolidation in our ontology or semantic layer. The selected individual will partner closely with development teams to design, review, and implement high quality data solutions 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 12 years prior Palantir experience or Graduate Degree and a minimum of 10 years of prior Palantir experience In lieu of degree, minimum 16 years of prior Palantir experience
  • 5+ years of experience as a data architect or in a senior data engineering role, ideally supporting enterprise-scale data and analytics platforms
  • 4+ years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS or Python
  • 5+ Years of overall Data Integration experience in Palantir Foundry or similar data integration tools

Preferred Additional Skills:

  • 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 
  • Experience architecting Palantir Foundry platforms to enable 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  
  • Demonstrated understanding of how Foundry's Ontology, operational workflows, and governed data assets enable AI-driven business and manufacturing solutions
  • Familiarity with SDLC processes and architecture review or data governance board processes
  • 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

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 $153,000-$284,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $133,000-$247,000. 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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